[{"_1":2,"_405":-5,"_406":-5},"loaderData",{"_3":4,"_8":9},"root",{"_5":-5,"_6":7},"user","hasAccess",false,"routes/jobs",{"_10":11,"_11":12,"_90":39,"_91":92,"_97":98,"_105":106},"kind","job",{"_13":14,"_15":16,"_17":18,"_19":20,"_21":22,"_23":24,"_25":-5,"_26":-5,"_27":28,"_30":31,"_32":33,"_34":33,"_35":-5,"_36":37,"_38":39,"_40":41,"_42":43,"_44":7,"_45":46,"_47":-5,"_48":49,"_51":52,"_54":-5,"_55":56,"_68":69,"_70":71,"_72":73,"_74":-5,"_75":-5,"_76":-5,"_77":-5,"_78":79,"_80":-5,"_81":7,"_82":83,"_84":7,"_85":86,"_87":-5,"_88":89},"id","fbe50568-d1a9-4f94-bf62-37451e5d033f","title","Agentic AI Platform Engineer","url","https://boards.greenhouse.io/onrunning/jobs/8071276?gh_jid=8071276","job_description_full","<p>-</p>","job_description_summary_short","The Agentic AI Platform Engineer role is listed without substantive job-description details. Responsibilities, qualifications, technologies, and benefits are not specified.","job_description_summary_long","The posting provides only the title, Agentic AI Platform Engineer. No responsibilities or project scope are described. No education or experience requirements are stated. No technologies, work arrangement, benefits, or compensation details are provided.","employment_type","compensation","seniority",[29],"mid level","date_posted","2026-09-04T06:52:57+00:00","created_at","2026-09-04T22:33:58.620215+00:00","updated_at","deleted_at","company","On","company_slug","on","profile_pic_url","https://wzishhuxscpbsvxosipt.supabase.co/storage/v1/object/public/company_logos/companies/241146e4-ea5b-478c-8eaa-11b838ada0c9.png","career_category","Software Engineering","sponsors_h1b","headcount_range","RANGE_5001_10000","latest_funding_class","location_ids",[50],1826645935,"sub_categories",[53],"AI Applications","tech_stack","locations",[57],{"_13":50,"_58":59,"_60":61,"_62":63,"_64":65,"_66":67},"city","London","slug","london-gbr","state","London, City of","country","United Kingdom","country_iso3","GBR","requirements",[],"responsibilities",[],"benefits",[],"salary_minvalue","salary_maxvalue","salary_currency","salary_unitText","credential_category","no-requirements","months_of_experience","experience_in_place_of_education","home_page_url","https://on.com","company_sponsors_h1b","h1b_sponsorship_status","unknown","h1b_sponsorship_evidence","company_id","241146e4-ea5b-478c-8eaa-11b838ada0c9","companySlug","companyInfo",{"_93":37,"_60":39,"_82":83,"_94":95,"_45":46,"_96":-5},"name","linkedin_slug","on-ag","description","h1bHistory",{"_99":100,"_101":102,"_103":104},"years",[],"fields",[],"employers",[],"similarJobs",[107,150,193,247,281,357],{"_13":108,"_15":109,"_17":110,"_19":111,"_21":112,"_23":113,"_25":-5,"_26":-5,"_27":114,"_30":116,"_32":117,"_34":118,"_35":-5,"_36":119,"_38":120,"_40":121,"_42":43,"_44":122,"_45":123,"_47":124,"_48":125,"_51":127,"_54":-5,"_55":129,"_68":134,"_70":139,"_72":145,"_74":-5,"_75":-5,"_76":-5,"_77":-5,"_78":79,"_80":-5,"_81":7,"_82":149},"752c6b52-655d-49b6-b7b0-1def80300d94","AI Native Software Engineer","https://accenture.wd103.myworkdayjobs.com/AccentureCareers/job/London/AI-Native-Software-Engineer_R00344645-1","

This role sits at the heart of the fastest-growing segment of the AI engineering market and we are looking for engineers who can translate platform potential into measurable business value inside a live enterprise environment.

Accenture offers breadth across every industry and enterprise technology stack, plus vendor fellowship access inside Anthropic, OpenAI, Microsoft, and Google engineering teams, and a direct pathway into our Forward Deployed Engineer programme.

What you will do

Embed directly with client engineering and business teams to deploy, scale, and operationalise AI platforms, including Anthropic, OpenAI, Microsoft, Google, Salesforce, SAP, and Palantir, inside enterprise environments

Own production outcomes end-to-end: time-to-value, reliability, adoption velocity, and scalability

Move from ambiguous business problem to working production system through rapid experimentation: days to prototype, weeks to production-ready

Design and govern AI architectures across the full enterprise stack, spanning identity, data, security, governance, platform layer, and workflow integration

Build reusable patterns, playbooks, and accelerators that the client owns after you leave, and codify delivery learnings that scale across engagements

What we are looking for

Hands-on engineering experience with cloud-native systems (APIs, microservices, containerization, serverless)

Demonstrated expertise in designing and deploying agentic solutions (agents, orchestration, context engineering, RAG, workflows)

Demonstrated end-to-end delivery ownership in a client-embedded environment, with experience building relationships with senior stakeholders

We are hiring across Europe at multiple levels. If you are passionate about agentic AI and building systems that go beyond the pilot and into production at scale, we would love to hear from you.

#LI-MP

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.

Visit us at www.accenture.com

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, sexual orientation, gender identity or expression, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

","AI Native Software Engineers embed with enterprise clients to design, deploy, and scale agentic AI systems that move from prototype to reliable production outcomes. The role combines hands-on cloud engineering, AI architecture, and client-embedded delivery.","The engineer deploys and operationalizes AI platforms within client engineering and business environments, owning outcomes such as time-to-value, reliability, adoption, and scalability. They translate ambiguous business problems into production systems through rapid experimentation and end-to-end delivery. The role includes designing AI architectures across identity, data, security, governance, platforms, and workflow integration. Engineers build reusable patterns, playbooks, and accelerators that clients can maintain after engagements. Candidates need cloud-native engineering experience, expertise with agentic solutions, and experience working directly with senior client stakeholders.",[115,29],"entry level","2026-09-03T00:00:00+00:00","2026-09-03T13:36:19.553027+00:00","2026-09-04T22:39:52.13034+00:00","Accenture","accenture","https://wzishhuxscpbsvxosipt.supabase.co/storage/v1/object/public/company_logos/companies/82413acf-f1d2-41bf-89ff-7f317ced1afc.jpg",true,"RANGE_10000_PLUS","PUBLIC",[126,50],1826423213,[53,128],"Forward Deployed",[130,133],{"_13":126,"_58":131,"_60":132,"_62":131,"_64":65,"_66":67},"Birmingham","birmingham-gbr",{"_13":50,"_58":59,"_60":61,"_62":63,"_64":65,"_66":67},[135,136,137,138],"Hands-on engineering experience with cloud-native systems, including APIs, microservices, containerization, and serverless systems.","Demonstrated expertise designing and deploying agentic solutions involving agents, orchestration, context engineering, retrieval-augmented generation, and workflows.","End-to-end delivery ownership in client-embedded environments and experience building relationships with senior stakeholders.","Passion for agentic AI and taking systems from pilot to production at scale.",[140,141,142,143,144],"Embed with client engineering and business teams to deploy, scale, and operationalize enterprise AI platforms.","Own production outcomes including time-to-value, reliability, adoption velocity, and scalability.","Translate ambiguous business problems into working production systems through rapid experimentation.","Design and govern AI architectures spanning identity, data, security, governance, platform layers, and workflow integration.","Build reusable patterns, playbooks, and accelerators and codify delivery learnings across engagements.",[146,147,148],"Access to vendor fellowship opportunities with Anthropic, OpenAI, Microsoft, and Google engineering teams.","Direct pathway into Accenture’s Forward Deployed Engineer programme.","Hiring is available across Europe at multiple levels.","https://www.accenture.com",{"_13":151,"_15":152,"_17":153,"_19":154,"_21":155,"_23":156,"_25":-5,"_26":-5,"_27":157,"_30":158,"_32":159,"_34":160,"_35":-5,"_36":161,"_38":162,"_40":163,"_42":43,"_44":122,"_45":164,"_47":124,"_48":165,"_51":166,"_54":168,"_55":172,"_68":174,"_70":182,"_72":188,"_74":-5,"_75":-5,"_76":-5,"_77":-5,"_78":79,"_80":191,"_81":7,"_82":192},"5334c9a9-7630-4267-99bf-fb0fbc9d817f","Software Engineer - AI Product (London, United Kingdom)","https://boards.greenhouse.io/figma/jobs/5551697004?gh_jid=5551697004","<div class="content-intro"><p>Figma is growing our team of passionate creatives and builders on a mission to make design accessible to all. Figma’s platform helps teams bring ideas to life—whether you're brainstorming, creating a prototype, translating designs into code, or iterating with AI. From idea to product, Figma empowers teams to streamline workflows, move faster, and work together in real time from anywhere in the world. If you're excited to shape the future of design and collaboration, join us!</p></div><p>At Figma we believe design doesn’t end in a file or with your designer - it includes everything that goes into the product you ship: the production code that ties it all together, the systems and developer tools that make that code reliable, the context you provide to our AI agents, and the documentation that keeps everyone on the same page.</p>\n<p>The Code Area at Figma is redefining how Designers, PMs and Engineers collaborate. We are responsible for agentic workflows enabling ideation and prototyping on production codebases as well as accelerating the journey from design to code. In 2023,<a href="https://www.figma.com/blog/introducing-dev-mode/"> we launched Dev Mode</a>, a suite of features that give developers everything they need to navigate design files and transform designs into code. In 2025, <a href="https://www.figma.com/blog/introducing-figma-mcp-server/">we introduced Figma’s MCP</a>, accelerating how ideas get to production. Looking to the future, we aim to further reduce the barriers between design to code and code to design allowing ideation, prototyping and productionisation to happen seamlessly where it most makes sense.</p>\n<p>Our Code organization is expanding, and we’re hiring AI Product Engineers across multiple levels in the UK. We’re looking for people who have built generative AI products and are eager to lead AI efforts end-to-end, from early ideas to production.</p>\n<p>Join us in shaping the future of AI at Figma!</p>\n<h4>What you’ll do at Figma:</h4>\n<ul>\n<li>Build and evolve Dev Mode our MCP tools and Make -, Figma’s leading tools for dev/design collaboration</li>\n<li>Take part in building new 0→1 products within the agentic coding space</li>\n<li>Collaborate with designers, PMs, and other engineers craft high quality products</li>\n<li>Be a mentor to, and be mentored by, exceptional peers across engineering, product & design</li>\n<li>Build strong personal connections with your teammates and help shape Figma’s culture.</li>\n</ul>\n<h4>We’d love to hear from you if you have:</h4>\n<ul>\n<li>3+ years of experience shipping user-facing features or products as a full-stack developer</li>\n<li>Demonstrated strong fluency with React & Typescript</li>\n<li>Experience communicating and working across functions to proactively drive solutions</li>\n<li>Attention to detail, quality, and craftsmanship</li>\n<li>High velocity & a focus on user impact</li>\n</ul>\n<h4>While it’s not required, it’s an added plus if you also have experience:</h4>\n<ul>\n<li>Leading large scale engineering projects with high impact</li>\n<li>Driving XFN projects collaborating with Product, Design, Data & Research</li>\n<li>Working with user facing LLM and agentic product features</li>\n<li>Experience curating and developing eval sets and LLMs as judges</li>\n</ul>\n<p>At Figma, one of our values is Grow as you go. We believe in hiring smart, curious people who are excited to learn and develop their skills. If you’re excited about this role but your past experience doesn’t align perfectly with the points outlined in the job description, we encourage you to apply anyways. You may be just the right candidate for this or other roles.</p><div class="content-conclusion"><p>At Figma we celebrate and support our differences. We know employing a team rich in diverse thoughts, experiences, and opinions allows our employees, our product and our community to flourish. Figma is an <a href="https://www.eeoc.gov/sites/default/files/2022-10/EEOC_KnowYourRights_screen_reader_10_20.pdf">equal opportunity workplace</a> - we are dedicated to equal employment opportunities regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity/expression, veteran status<strong>, </strong>or any other characteristic protected by law. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements.</p>\n<p>We will work to ensure individuals with disabilities are provided reasonable accommodation to apply for a role, participate in the interview process, perform essential job functions, and receive other benefits and privileges of employment. If you require accommodation, please reach out to <a href="mailto:accommodations-ext@figma.com">accommodations-ext@figma.com</a>. These modifications enable an individual with a disability to have an equal opportunity not only to get a job, but successfully perform their job tasks to the same extent as people without disabilities. </p>\n<p>Examples of accommodations include but are not limited to: </p>\n<ul>\n<li>Holding interviews in an accessible location</li>\n<li>Enabling closed captioning on video conferencing</li>\n<li>Ensuring all written communication be compatible with screen readers</li>\n<li>Changing the mode or format of interviews </li>\n</ul>\n<p>To ensure the integrity of our hiring process and facilitate a more personal connection, we require all candidates keep their cameras on during video interviews. Additionally, if hired you will be required to attend in person onboarding.</p>\n<p>By applying for this job, the candidate acknowledges and agrees that any personal data contained in their application or supporting materials will be processed in accordance with <a class="c-link c-link--underline" href="https://www.figma.com/legal/candidate-privacy-notice/" target="_blank" data-stringify-link="https://www.figma.com/legal/candidate-privacy-notice/" data-sk="tooltip_parent">Figma's Candidate Privacy Notice</a>.</p></div>","Build user-facing generative AI and agentic coding products that connect design workflows with production code at Figma. You’ll help evolve Dev Mode, MCP tools, and Make while shaping new 0-to-1 products.","This role develops full-stack, user-facing AI products for Figma’s Code organization, including Dev Mode, MCP tools, Make, and new agentic coding experiences. You’ll collaborate closely with designers, product managers, data and research partners, and engineers to take ideas from concept through production. The role requires at least three years of experience shipping user-facing features or products, along with strong React and TypeScript skills. Experience with LLM-powered features, agentic products, evaluation sets, or LLM-as-judge systems is a plus. The position is based in London and requires in-person onboarding, with cameras on during video interviews.",[29],"2026-08-27T10:24:15+00:00","2025-06-02T20:51:12.370554+00:00","2026-09-04T22:37:46.548581+00:00","Figma","figma","https://wzishhuxscpbsvxosipt.supabase.co/storage/v1/object/public/company_logos/companies/9b365c9f-a8dc-4736-8183-35e21093d5ac.jpg","RANGE_1001_5000",[50],[53,167],"Full Stack",[169,170,171],"Make","React","TypeScript",[173],{"_13":50,"_58":59,"_60":61,"_62":63,"_64":65,"_66":67},[175,176,177,178,179,180,181],"At least 3 years of experience shipping user-facing features or products as a full-stack developer.","Strong fluency with React and TypeScript.","Ability to communicate and work effectively across functions to drive solutions proactively.","Demonstrated attention to detail, quality, and craftsmanship, with a focus on user impact and high-velocity delivery.","Preferred experience leading large-scale, high-impact engineering projects.","Preferred experience working on user-facing LLM and agentic product features.","Preferred experience curating evaluation sets and developing LLMs as judges.",[183,184,185,186,187],"Build and evolve Dev Mode, Figma MCP tools, Make, and other design-to-code collaboration products.","Develop new 0-to-1 products in the agentic coding space.","Ship high-quality, user-facing full-stack features from early concepts through production.","Collaborate with designers, product managers, engineers, data partners, and research teams.","Mentor and learn from engineering, product, and design colleagues while contributing to Figma’s culture.",[189,190],"Figma is an equal opportunity workplace committed to supporting a diverse workforce and providing reasonable accommodations.","The role is located in London, United Kingdom, requires in-person onboarding if hired, and requires cameras to remain on during video interviews.",36,"https://www.figma.com",{"_13":194,"_15":195,"_17":196,"_19":197,"_21":198,"_23":199,"_25":-5,"_26":-5,"_27":200,"_30":201,"_32":202,"_34":203,"_35":-5,"_36":204,"_38":205,"_40":206,"_42":43,"_44":122,"_45":207,"_47":208,"_48":209,"_51":210,"_54":212,"_55":216,"_68":218,"_70":227,"_72":235,"_74":-5,"_75":-5,"_76":-5,"_77":-5,"_78":79,"_80":191,"_81":7,"_82":246},"976bf8fc-567d-4e2c-a3a0-7ebd88c5c2e7","Backend Software Engineer - New Bets","https://jobs.ashbyhq.com/heidihealth.com.au/68074198-b723-4db9-af97-5f33392593f4","WHO IS HEIDI?\n\nHeidi is building an AI Care Partner that supports clinicians every step of the way, from documentation to delivery of care.\n\nWe exist to double healthcare’s capacity while keeping care deeply human. In the last 18 months, Heidi has returned more than 18 million hours to clinicians and supported over 73 million patient visits. Today, more than two million patient visits each week are powered by Heidi across 116 countries and over 110 languages.\n\nFounded by clinicians, Heidi brings together clinicians, engineers, designers, scientists, creatives, and mathematicians, working with a shared purpose: to strengthen the human connection at the heart of healthcare.\n\nBacked by nearly $100 million in total funding, Heidi is expanding across the USA, UK, Canada, and Europe, partnering with major health systems including the NHS, Beth Israel Lahey Health, MaineGeneral, and Monash Health, among others.\n\nWe move quickly where it matters and stay grounded in what’s proven, shaping healthcare’s next era. Ready for the challenge?\n\n\n\n\nTHE ROLE\n\nThe New Bets squad builds Heidi's next products. Scribe already powers millions of patient visits a week, and Evidence and Remote are scaling behind it. Your job, alongside the New Bets PM and Team, is to build what comes next.\n\nThis is zero-to-one engineering with a distribution advantage most early products never get. Your v1s don't launch into silence, instead they go in front of clinicians who already open Heidi every day, and who will tell you within a week whether you have built something they need. \n\nThe squad is small on purpose. You'll build the whole thing: the React front end, the Python services behind it, and the prompts, retrieval and eval harnesses that make an LLM feature safe enough to put in front of a clinician. When a bet needs an onboarding flow, a data migration or a quick internal dashboard, that's you too. There's no one else to hand it to, so you will own the build from PoC through to production.\n\nSome of what you build will be killed. Ultimately, most bets don't survive contact with a real clinic, and the winners graduate into staffed product lines that inherit your code. For this to work, the code that dies has to have been fast to write, and the code that lives has to be worth inheriting.\n\nTo fit in well with this team, you need to be the engineer who ships, ideally with: a few years of production software behind you, real judgment about what's good enough for a prototype versus what has to be right, and the appetite to own more surface area than any normal role would give you. If you're mid-level and impatient about it, this role is a fast-track to exposing yourself to complex problems and pushing towards a Senior level.\n\n\n\n\nWHAT YOU'LL DO:\n\n - Build new products end to end: React/TypeScript front ends, Python services, and the LLM and voice pipelines in between\n\n - Turn a one-page thesis into a working v0 in days, then decide with the PM what deserves a v1\n\n - Make AI features trustworthy and compliant: prompting, retrieval and evals that hold up in a real clinic, not just in a demo\n\n - Ship weekly, demo what you shipped, and let real usage settle arguments\n\n - Spend time with clinicians to deeply understand how they actually work, and the blockers they face daily\n\n - Work with our commercial teams to understand the business case behind what we build\n\n - Instrument everything: usage, latency, failure modes. The scale-or-kill call runs on data you built the pipes for\n\n - Hand winners over well: when a bet graduates, either you will continue to develop and maintain it, or a staffed team will pick up your codebase\n\n\n\n\nWHAT YOU WILL NEED:\n\n - 3+ years shipping production software, we care much more about what you've shipped rather than time in seat\n\n - Full-stack fluency: Python on the back end, React/TypeScript on the front, comfortable owning everything from the schema to the UI\n\n - Working fluency with LLM systems: prompting, retrieval, embeddings, evaluation and the judgment to build around their probabilistic nature\n\n - You build with AI tools (Cursor, Claude Code, whatever ships faster) and can show what you've made with them\n\n - Cloud fluency (AWS or GCP): you can stand up your own infrastructure and CI/CD and get code to users without a platform team\n\n - A testing-in-production mindset: observability and feedback loops, because \"works on my machine\" doesn't survive a clinic\n\n - Product instincts: you ask what the user is trying to do, and you'll argue with the PM when the ticket is wrong\n\n - Speed as a habit, with weekly demos and a bias to ship over a bias to plan\n\n - Strong opinions, weakly held: you'll shift the room when you're right\n\n - Healthcare experience isn't required, but a genuine passion for wanting healthcare to work better is important\n\n\n\n\nWHAT DO WE BELIEVE IN?\n\nHeidi builds for the future of healthcare, not just the next quarter, and our goals are ambitious because the world’s health demands it. We believe in progress built through precision, pace, and ownership.\n\n - Live Forever - Every release moves care forward: measured, safe, and built to last. Data guides us, but patients define the truth that matters.\n\n - Practice Ownership - Decisions follow logic and proof, not hierarchy. Exceptional care demands exceptional standards in our work, our thinking, and our character.\n\n - Small Cuts Heal Faster - Stability earns trust, speed delivers impact. Progress is about learning fast without breaking what people depend on.\n\n - Make others better - Feedback is direct, kindness is constant, and excellence lifts everyone. Our success is measured by collective growth, not individual output.\n\nOur mission is clear: expand the world’s capacity to care, and do it without losing the humanity that makes care worth delivering.\n\n\n\nWhy you should Join Heidi 🚀\n\n - Real product momentum. We're not trying to generate interest, we're channeling it.\n\n - Equity from day one. When Heidi wins, you win. You'll share directly in the success you help create.\n\n - Unmatched impact. Play a pivotal role at a critical growth moment - working on a product that delivers tangible, real-world value to clinicians and patients every day.\n\n - Work alongside world-class talent. Join a team of operators and builders who've scaled unicorns.\n\n - Your health, covered. Comprehensive private medical and dental cover through Bupa, plus 24/7 mental health, coaching and wellbeing support through Sonder and a £100/month Healthy Heidi’s stipend.\n\n - Global parental leave. 26 weeks paid for primary carers and 18 weeks for secondary carers, subject to eligibility.\n\n - Fertility support. £7,000 one-off payment, eligibility applies.\n\n - Learning & development. £700 per year for courses, books, memberships, conferences and more.\n\n - Home office budget. £500 one-off to set up a workspace you actually want to work in.\n\n - Recharge days after major milestones and busy periods so you can reset and come back strong.\n\n - Work from anywhere for up to 4 weeks per year, wherever the world takes you.\n\n - Clinical leave. 10 days per year for eligible clinical roles to maintain accreditation and requirements.\n\n - Flexibility that works. A hybrid environment, with 3 days in the office.\n\n\n\nHeidi’s commitment to Diversity, Equity and Inclusion\n\nHeidi is dedicated to creating an equitable, inclusive, and supportive work environment that brings people together from diverse backgrounds, experiences, and perspectives. Our strength is in our differences. We're proud to be an equal opportunity employer and are proud to welcome all applicants as we're committed to promoting a culture of opportunity for all.","Build Heidi’s next healthcare products from zero to one, owning React/TypeScript interfaces, Python services, and safe LLM-powered features end to end. You’ll rapidly test ideas with clinicians and take promising products from prototype through production.","The New Bets squad creates and validates new products for Heidi’s AI Care Partner platform. This engineer will build full-stack products using React/TypeScript and Python, including LLM prompting, retrieval, embeddings, evaluation, and voice pipelines. Responsibilities include turning product theses into prototypes, instrumenting usage and reliability, working directly with clinicians and commercial teams, and handing successful products into mature teams. The role suits an engineer with at least three years of production experience who can independently manage infrastructure and delivery in AWS or GCP. It offers broad ownership, rapid iteration, clinician impact, equity, hybrid work, and extensive health, parental, learning, and wellbeing benefits.",[29],"2026-08-21T10:12:34.555+00:00","2026-08-21T10:22:33.750557+00:00","2026-09-04T22:42:07.586033+00:00","Heidi","heidi","https://wzishhuxscpbsvxosipt.supabase.co/storage/v1/object/public/company_logos/companies/477da8e8-9b96-4f41-a843-9136f32dbaf5.png","RANGE_501_1000","SERIES_B",[50],[53,211,167],"Backend",[213,214,215,170,171],"AWS","Google Cloud Platform","Python",[217],{"_13":50,"_58":59,"_60":61,"_62":63,"_64":65,"_66":67},[219,220,221,222,223,224,225,226],"At least 3 years of experience shipping production software.","Full-stack fluency with Python on the backend and React/TypeScript on the frontend, including ownership from schema to UI.","Working fluency with LLM systems, including prompting, retrieval, embeddings, evaluation, and designing around probabilistic behavior.","Experience building with AI tools such as Cursor or Claude Code and examples of what you have created with them.","Cloud fluency with AWS or GCP, including independently standing up infrastructure and CI/CD and delivering code without a platform team.","A testing-in-production mindset focused on observability and feedback loops.","Strong product judgment, user focus, willingness to challenge incorrect requirements, and a bias toward shipping.","Healthcare experience is not required, but genuine interest in improving healthcare is important.",[228,229,230,231,232,233,234],"Build new products end to end with React/TypeScript front ends, Python services, and LLM and voice pipelines.","Turn product theses into working prototypes quickly and collaborate with the PM to decide which ideas merit further investment.","Develop trustworthy and compliant AI features using prompting, retrieval, and evaluation approaches suitable for clinical use.","Ship weekly, demonstrate releases, and use real usage data to guide product decisions.","Work with clinicians to understand workflows and blockers and collaborate with commercial teams on business cases.","Instrument products for usage, latency, and failure modes and build the data pipes needed for scale-or-kill decisions.","Own products from proof of concept through production and maintain or hand off successful codebases effectively.",[236,237,238,239,240,241,242,243,244,245],"Equity from day one.","Comprehensive private medical and dental cover through Bupa, plus 24/7 mental health, coaching, and wellbeing support through Sonder and a £100/month Healthy Heidi’s stipend.","Global parental leave of 26 weeks for primary carers and 18 weeks for secondary carers, subject to eligibility.","Fertility support through a £7,000 one-off payment, subject to eligibility.","£700 per year for learning and development expenses.","A £500 one-off home office setup budget.","Recharge days after major milestones and busy periods.","The ability to work from anywhere for up to 4 weeks per year.","10 days of clinical leave per year for eligible clinical roles.","Hybrid work with 3 days in the office.","https://heidihealth.com",{"_13":248,"_15":249,"_17":250,"_19":251,"_21":252,"_23":253,"_25":-5,"_26":-5,"_27":254,"_30":255,"_32":256,"_34":257,"_35":-5,"_36":258,"_38":259,"_40":260,"_42":43,"_44":7,"_45":164,"_47":-5,"_48":261,"_51":262,"_54":-5,"_55":263,"_68":265,"_70":273,"_72":279,"_74":-5,"_75":-5,"_76":-5,"_77":-5,"_78":79,"_80":-5,"_81":7,"_82":280},"1131786b-de01-4749-9246-0d43c2b2a580","AI Software Developer","https://job-boards.greenhouse.io/worldquant/jobs/4671240006","<div class="content-intro"><p>WorldQuant develops and deploys systematic financial strategies across a broad range of asset classes and global markets. We seek to produce high-quality predictive signals (alphas) through our proprietary research platform to employ financial strategies focused on market inefficiencies. Our teams work collaboratively to drive the production of alphas and financial strategies – the foundation of a balanced, global investment platform.</p>\n<p>WorldQuant is built on a culture that pairs academic sensibility with accountability for results. Employees are encouraged to think openly about problems, balancing intellectualism and practicality. Excellent ideas come from anyone, anywhere. Employees are encouraged to challenge conventional thinking and possess an attitude of continuous improvement.</p>\n<p>Our goal is to hire the best and the brightest. We value intellectual horsepower first and foremost, and people who demonstrate an outstanding talent. There is no roadmap to future success, so we need people who can help us build it.</p></div><p>Technologists at WorldQuant research, design, code, test and deploy firmwide platforms and tooling while working collaboratively with researchers and portfolio managers. Our environment is relaxed yet intellectually driven. We seek people who think in code and are motivated by being around like-minded people.</p>\n<div class="p-rich_text_section"> </div>\n<div class="p-rich_text_section">\n<p></p>\n<div class="p-rich_text_section"><strong data-stringify-type="bold">The Role: </strong>Join a software engineering team at the forefront of agentic AI and quantitative finance, focused on building reliable, scalable systems that transform how complex software and research workflows are developed, automated, and maintained. This team develops AI-enabled platforms, intelligent workflows, and engineering systems that apply emerging AI capabilities to real-world quantitative investment problems. You will design, build, and productionize solutions for AI-first quant investment processes. <br><br></div>\n<div class="p-rich_text_section"><strong data-stringify-type="bold">What You’ll bring:</strong></div>\n<div>\n<ul>\n<li>Strong software engineering fundamentals</li>\n<li>Hands-on experience applying AI coding tools, LLMs, agents, or AI-assisted development workflows in practical settings.</li>\n<li>Ability to design AI-first processes.</li>\n<li>Experience building production-grade systems using AI-assisted development methods.</li>\n<li>Strong understanding of system design, software architecture, testing, deployment, and operational reliability.</li>\n<li>Excellent communication skills in English.</li>\n<li>Mature, thoughtful attitude with the ability to operate in a collaborative, team-oriented culture.</li>\n<li>A strong delivery mind-set, drive to get things done.</li>\n</ul>\n</div>\n<p><br><br></p>\n</div>\n<p>#LI-MH1</p>\n<p> </p><div class="content-conclusion"><p>By submitting this application, you acknowledge and consent to terms of the <a href="https://www.worldquant.com/privacy-policy/" target="_blank">WorldQuant Privacy Policy.</a> The privacy policy offers an explanation of how and why your data will be collected, how it will be used and disclosed, how it will be retained and secured, and what legal rights are associated with that data (including the rights of access, correction, and deletion). The policy also describes legal and contractual limitations on these rights. The specific rights and obligations of individuals living and working in different areas may vary by jurisdiction.</p>\n<p>Copyright © 2025 WorldQuant, LLC. All Rights Reserved.<br>WorldQuant is an equal opportunity employer and does not discriminate in hiring on the basis of race, color, creed, religion, sex, sexual orientation or preference, age, marital status, citizenship, national origin, disability, military status, genetic predisposition or carrier status, or any other protected characteristic as established by applicable law.</p></div>","Build reliable, scalable AI-enabled platforms and intelligent workflows that transform software and quantitative research processes. This role applies agentic AI and LLM-based development methods to real-world quantitative investment problems.","The AI Software Developer will design, build, and productionize AI-first solutions for quantitative investment processes. Responsibilities include developing intelligent workflows, engineering systems, and reliable platforms for software and research automation. Candidates should have strong software engineering fundamentals and hands-on experience with AI coding tools, LLMs, agents, or AI-assisted development workflows. The role also requires knowledge of system design, software architecture, testing, deployment, and operational reliability, along with strong communication and collaboration skills. The position is distinctive for combining agentic AI development with quantitative finance and systematic investment research.",[29],"2026-08-19T08:45:49+00:00","2026-09-04T20:23:45.34705+00:00","2026-09-04T22:33:28.994136+00:00","WorldQuant","worldquant","https://wzishhuxscpbsvxosipt.supabase.co/storage/v1/object/public/company_logos/companies/f6b7c502-6f70-40d5-8f1a-59bd69748561.png",[50],[53],[264],{"_13":50,"_58":59,"_60":61,"_62":63,"_64":65,"_66":67},[266,267,268,269,270,271,272],"Strong software engineering fundamentals.","Hands-on experience applying AI coding tools, LLMs, agents, or AI-assisted development workflows in practical settings.","Ability to design AI-first processes.","Experience building production-grade systems using AI-assisted development methods.","Strong understanding of system design, software architecture, testing, deployment, and operational reliability.","Excellent communication skills in English.","Mature, thoughtful, collaborative, and delivery-oriented approach.",[274,275,276,277,278],"Design, build, and productionize AI-first solutions for quantitative investment processes.","Develop AI-enabled platforms, intelligent workflows, and engineering systems.","Apply AI coding tools, LLMs, agents, and AI-assisted development methods to production-grade software.","Collaborate with researchers, portfolio managers, and software engineering teams.","Build systems with appropriate architecture, testing, deployment, and operational reliability.",[],"https://worldquant.com",{"_13":282,"_15":283,"_17":284,"_19":285,"_21":286,"_23":287,"_25":-5,"_26":-5,"_27":288,"_30":289,"_32":290,"_34":291,"_35":-5,"_36":292,"_38":293,"_40":294,"_42":43,"_44":122,"_45":295,"_47":296,"_48":297,"_51":302,"_54":304,"_55":308,"_68":330,"_70":341,"_72":350,"_74":351,"_75":352,"_76":353,"_77":354,"_78":79,"_80":355,"_81":7,"_82":356},"bf369c63-3d0f-4708-9a43-2a46e8e12839","Software Engineer, Agent Systems","https://jobs.ashbyhq.com/normalcomputing/51c718cf-7187-472b-b126-86b1b2bb9896","ABOUT NORMAL COMPUTING\n\nNormal Computing builds silicon that turns thermal noise from an obstacle into a computational resource. Conventional chips spend most of their energy forcing determinism onto physics; ours compute with it. Stochastic, in-memory, asynchronous: the result is 10-100× more AI inference per dollar, per watt.\n\n \n\nWe co-design the full stack: AI-native EDA systems in production with the world's largest semiconductor companies, and the advanced ASICs they make possible. Backed by $85M+ from the world's leading deep-tech investors and built by scientists, engineers, and operators from the labs that built modern computing.\n\n \n\nNormal works as one team across New York, Silicon Valley, London, Copenhagen, and Seoul. We hire people who want the hardest version of their craft, across every discipline, at every seniority.\n\n\n\n\nTHE ROLE\n\nAs a Software Engineer at Normal, you will build the backend runtimes and distributed systems behind our AI products. You'll design orchestration services, execution environments, internal APIs, persistence layers, and observability systems that allow AI agents to perform long-running work reliably.\n\n\nThese systems coordinate workloads across distributed environments, execute code and tools securely, preserve state across long-running sessions, and recover cleanly from failures. Your work will turn ambitious AI prototypes into dependable products used in real customer workflows.\n\n\nThe role spans backend, AI, and platform engineering. Its focus is the application and runtime layer but not general-purpose cloud infrastructure or company-wide developer operations. You'll work closely with product, AI, research, and platform engineers to define the interfaces between AI capabilities, execution environments, and production services.\n\n\nOn any given day, you might design the execution model for a new AI capability, build an orchestration service for autonomous workflows, improve the scheduling and isolation of distributed workloads, or create an API that makes a complex runtime capability easy for other engineers to use.\n\n\n\n\nWHAT YOU WILL OWN\n\n - Runtime and Orchestration: Build the services that manage agent execution, session lifecycles, long-running workflows, and distributed workloads.\n\n - Backend Systems and APIs: Design reliable services, data models, and internal APIs used by product engineers, AI engineers, and execution systems.\n\n - State and Failure Handling: Develop clear models for persistence, retries, queues, leases, cancellation, recovery, and other distributed-systems concerns.\n\n - Execution Environments: Build software that schedules and manages containerized workloads in Kubernetes-backed environments, including lifecycle, isolation, autoscaling, and resource management.\n\n - Reliability and Observability: Make evolving systems easier to operate through thoughtful metrics, tracing, debugging tools, and well-defined failure modes.\n\n - Developer Experience: Create abstractions and tools that allow other engineers to extend the platform without needing to understand every underlying implementation detail.\n\n - Prototype-to-Production Engineering: Turn promising prototypes into durable systems by clarifying boundaries, hardening critical paths, and introducing operational patterns that scale.\n\n - Technical Design: Facilitate design discussions around runtime architecture, API boundaries, state management, execution models, and operational tradeoffs.\n\n\n\n\nWHAT MAKES YOU A GREAT FIT\n\n - 4+ years of software engineering experience in backend systems, distributed systems, developer platforms, production infrastructure, or a related area.\n\n - Strong backend engineering fundamentals, including API design, data modeling, concurrency, debugging, and testing.\n\n - Experience designing and operating production services where reliability, observability, and maintainability matter.\n\n - Experience reasoning about distributed state and failure modes, including retries, queues, leases, scheduling, idempotency, and long-running workflows.\n\n - Practical experience with containers and Kubernetes-backed systems, including workload lifecycle, networking, resource limits, and production debugging.\n\n - Experience with production data systems such as Postgres, Redis or Valkey, and object storage.\n\n - Experience building orchestration systems, workflow engines, job schedulers, sandboxes, developer platforms, or distributed execution systems.\n\n - A track record of designing APIs and abstractions that other engineers can use confidently.\n\n - Pragmatic judgment in fast-moving environments: you know when to improve an abstraction, simplify it, or ship the straightforward version.\n\n - A strong sense of ownership for how your software behaves in production and how effectively others can use it.\n\n\n\n\nBONUS POINTS\n\n - Experience building systems for AI agents, model orchestration, code execution, or other LLM-powered products.\n\n - Deep Kubernetes knowledge, such as controllers, scheduling, networking, storage, autoscaling, or resource isolation.\n\n - Experience with secure or sandboxed code execution.\n\n - Background in reliability engineering, infrastructure software, or developer platforms at meaningful scale.\n\n - Experience working in high-growth environments where systems and ownership boundaries are still taking shape.\n\n\n\nEqual Employment Opportunity Statement\n\nNormal Computing is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected status.\n\nAccessibility Accommodations\n\nNormal Computing is committed to providing reasonable accommodations to individuals with disabilities. If you need assistance or an accommodation due to a disability, please let us know at accommodations@normalcomputing.com.\n\nPrivacy Notice\n\nBy submitting your application, you agree that Normal Computing may collect, use, and store your personal information for employment-related purposes in accordance with our Privacy Policy.","Build the backend runtimes and distributed systems that let AI agents execute long-running work reliably. You’ll own orchestration, APIs, state management, Kubernetes-backed execution environments, and production observability.","This software engineer will build the backend runtimes and distributed systems that enable AI agents to perform long-running work reliably. Responsibilities include agent orchestration, execution environments, internal APIs, persistence, failure recovery, observability, and developer-facing abstractions. The role involves managing containerized workloads in Kubernetes-backed environments and designing systems around scheduling, retries, queues, leases, cancellation, and resource management. Candidates should have 4+ years of experience in backend, distributed systems, developer platforms, or production infrastructure, along with experience operating reliable production services and data systems such as Postgres, Redis or Valkey. Experience with AI agents, secure code execution, deep Kubernetes systems, or reliability engineering is a bonus.",[29],"2026-07-30T04:28:19.897+00:00","2026-07-30T06:11:23.559798+00:00","2026-09-04T22:44:45.533202+00:00","Normal Computing Corporation","normal-computing-corporation","https://wzishhuxscpbsvxosipt.supabase.co/storage/v1/object/public/company_logos/companies/5777a9e3-8e9d-4c9f-acca-211dd3f9ce79.png","RANGE_51_200","OTHER",[298,299,50,300,301],1208763942,1756539143,1840020333,1840034016,[53,211,303],"DevOps",[305,306,307],"Kubernetes","PostgreSQL","Redis",[309,315,320,321,327],{"_13":298,"_58":310,"_60":311,"_62":312,"_64":313,"_66":314},"Copenhagen","copenhagen-dnk","Hovedstaden","Denmark","DNK",{"_13":299,"_58":316,"_60":317,"_62":316,"_64":318,"_66":319},"Zürich","z-rich-che","Switzerland","CHE",{"_13":50,"_58":59,"_60":61,"_62":63,"_64":65,"_66":67},{"_13":300,"_58":322,"_60":323,"_62":324,"_64":325,"_66":326},"Palo Alto","palo-alto-california","California","United States","USA",{"_13":301,"_58":328,"_60":329,"_62":328,"_64":325,"_66":326},"New York","new-york-new-york",[331,332,333,334,335,336,337,338,339,340],"4+ years of software engineering experience in backend systems, distributed systems, developer platforms, production infrastructure, or a related area.","Strong backend fundamentals including API design, data modeling, concurrency, debugging, and testing.","Experience designing and operating reliable, observable, and maintainable production services.","Experience with distributed state and failure modes such as retries, queues, leases, scheduling, idempotency, and long-running workflows.","Practical experience with containers and Kubernetes-backed systems, including workload lifecycle, networking, resource limits, and production debugging.","Experience with production data systems such as Postgres, Redis or Valkey, and object storage.","Experience building orchestration systems, workflow engines, job schedulers, sandboxes, developer platforms, or distributed execution systems.","Experience designing APIs and abstractions that other engineers can use confidently.","Pragmatic judgment and strong ownership of production behavior and developer usability.","Bonus: experience with AI agents, model orchestration, code execution, LLM-powered products, secure sandboxed execution, deep Kubernetes systems, reliability engineering, infrastructure software, developer platforms, or high-growth environments.",[342,343,344,345,346,347,348,349],"Build services managing agent execution, session lifecycles, long-running workflows, and distributed workloads.","Design reliable backend services, data models, and internal APIs for product, AI, and execution systems.","Develop persistence, retries, queues, leases, cancellation, recovery, and other distributed-systems capabilities.","Schedule and manage containerized workloads in Kubernetes-backed environments, including lifecycle, isolation, autoscaling, and resource management.","Improve reliability and observability through metrics, tracing, debugging tools, and clearly defined failure modes.","Create abstractions and tools that improve developer experience and platform extensibility.","Turn prototypes into durable production systems by hardening critical paths and establishing scalable operational patterns.","Lead technical design discussions covering runtime architecture, APIs, state management, execution models, and operational tradeoffs.",[],150000,265000,"USD","YEAR",48,"https://normalcomputing.com",{"_13":358,"_15":359,"_17":360,"_19":361,"_21":362,"_23":363,"_25":-5,"_26":-5,"_27":364,"_30":365,"_32":366,"_34":367,"_35":-5,"_36":368,"_38":369,"_40":370,"_42":43,"_44":122,"_45":371,"_47":372,"_48":373,"_51":374,"_54":376,"_55":379,"_68":381,"_70":390,"_72":397,"_74":-5,"_75":-5,"_76":-5,"_77":-5,"_78":403,"_80":-5,"_81":7,"_82":404},"1dee0103-1712-4bd6-bf2e-fae6274c4757","AI/ML Engineer, Deployed","https://jobs.ashbyhq.com/brainco/6bf3cc51-2715-439a-b4b5-7533fe5d6569","About Brain Co.\n\nBrain Co. is an Applied AI startup founded by Elad Gil and Jared Kushner, and backed by many of Silicon Valley’s leading builders — including Patrick Collison (CEO of Stripe), Andrej Karpathy (Cofounder of OpenAI), Mike Krieger (CPO of Anthropic), Kevin Weil (CPO of OpenAI), and Aravind Srinivas (CEO of Perplexity).We are building an AI platform and applications for the world’s most important institutions - delivering impact on real-world problems.Our progress so far\n\n - Automated construction permitting for a sovereign government → 80% faster, unlocking $375M+ in value\n\n - Optimized supply chains for a leading global energy company → 30% lower cost, 99% reliability, preventing $100M+ in losses\n\n - Streamlined hospital patient care across national health systems → 40% better outcomes, 80% less admin work\n\n - Raised a $30M Series A from top investors\n\n - Built a team of 40+ AI experts from Tesla, Google DeepMind, NVIDIA, and Databricks\n\nAt Brain Co., your work will be deployed in the real world, not stuck in research. We move fast, with more demand than we can serve, and are looking for exceptional people to take ownership from day one.\n\n\nABOUT THE ROLE\n\nAs an AI/ML Engineer at Brain Co., you will play a crucial role in deploying state-of-the-art models to automate various real world problems in sectors such as healthcare, government and energy. Part of the role will involve turning research breakthroughs into practical solutions for various nation states. This role is your opportunity to make a significant impact by making AI technology both accessible and influential.\n\n\nIN THIS ROLE, YOU WILL:\n\n - Innovate and Deploy: Design and deploy advanced LLM models to tackle real-world problems, particularly in automating complex, manual processes in a range of real-world verticals.\n\n - Optimize and Scale: Build scalable data pipelines, optimize models for performance and accuracy, and prepare them for production. Monitor and maintain deployed models to ensure they continue delivering value across various governments worldwide.\n\n - Make a Difference: Engage in projects including but not limited to optimizing the world's most advanced energy production systems, modernizing core government workflows, or improving patient outcomes in advanced public healthcare systems. Your work will directly impact how AI benefits individuals, businesses, and society at large.\n\n - Engage with Leaders: interact directly with government officials in various countries and apply the first of its kind AI solutions while working alongside experienced ex. Founders, AI researchers, and software engineers to understand complex business challenges and deliver AI-powered solutions. Join a dynamic team where ideas are exchanged freely and creativity flourishes. You will be able to wear many hats: software building, product management, sales, interpersonal skills.\n\n - Learn and Lead: Keep abreast of the latest developments in machine learning and AI. Participate in code reviews, share knowledge, and set an example with high-quality engineering practices.\n\n\nYOU MIGHT THRIVE IN THIS ROLE IF YOU:\n\n - Hold a BSc/Master’s/PhD degree in Computer Science, Machine Learning, Data Science, or a related field.\n\n - Have experience building GenAI-focused applications with the latest technologies, including but not limited to Agents, reasoning models and RAG.\n\n - Have at least a high level familiarity with the architecture and operation of large language models.\n\n - Have personally implemented models in common ML frameworks such as PyTorch, Jax or TensorFlow.\n\n - Possess a strong foundation in data structures, algorithms, and software engineering principles.\n\n - Exhibit excellent problem-solving and analytical skills, with a proactive approach to challenges.\n\n - Can work collaboratively with cross-functional teams.\n\n - Thrive in fast-paced environments where priorities or deadlines may compete.\n\n - Are eager to own problems end-to-end and willing to acquire any necessary knowledge to get the job done.\n\n \n\n\nBENEFITS\n\n - Competitive salary plus equity\n\n - Daily lunches\n\n - Commuter benefits\n\n - Unlimited PTO\n\n \n\n\nWHY JOIN US\n\n - Ship quickly, iterate constantly and see your work deployed at global scale\n\n - Collaborate with industry veterans from Tesla, DeepMind, Databricks, and more\n\n - Accelerate your career with ownership based on impact, not tenure\n\n - Earn competitive compensation + meaningful equity in a high-growth company\n\n - Thrive in a culture built on speed, curiosity, and impact\n\nIf you want to see your work deployed at scale with real impact, Brain Co. is the place to build.\n\nThis is a hybrid role that can be based in our London office","Deploy and scale advanced AI/ML systems that solve complex real-world problems across healthcare, government, and energy. This hybrid London role combines hands-on engineering with direct collaboration with government leaders and experienced AI teams.","The AI/ML Engineer will deploy advanced language models and GenAI applications to automate complex processes across healthcare, government, and energy. Responsibilities include building scalable data pipelines, optimizing models for production performance and accuracy, and monitoring deployed systems. The role involves direct engagement with government officials and collaboration with AI researchers, software engineers, and business stakeholders. Candidates should have experience with GenAI applications, familiarity with LLM architecture, and hands-on experience with PyTorch, Jax, or TensorFlow. The position offers the opportunity to ship AI systems at global scale in a hybrid London-based environment.",[29],"2026-07-22T10:14:24.957+00:00","2026-07-22T12:07:05.430478+00:00","2026-09-04T22:34:27.934597+00:00","Brain Co.","brain-co","https://wzishhuxscpbsvxosipt.supabase.co/storage/v1/object/public/company_logos/companies/82d16a3c-a641-4e73-9dfc-38520d8c0fee.png","RANGE_11_50","SERIES_A",[50],[53,375],"ML Engineering",[377,378],"PyTorch","TensorFlow",[380],{"_13":50,"_58":59,"_60":61,"_62":63,"_64":65,"_66":67},[382,383,384,385,386,387,388,389],"Bachelor’s, Master’s, or PhD in Computer Science, Machine Learning, Data Science, or a related field.","Experience building GenAI-focused applications involving agents, reasoning models, and RAG.","High-level familiarity with the architecture and operation of large language models.","Hands-on implementation experience with PyTorch, Jax, or TensorFlow.","Strong foundation in data structures, algorithms, and software engineering principles.","Excellent problem-solving and analytical skills with a proactive approach.","Ability to collaborate with cross-functional teams and work in fast-paced environments.","Willingness to own problems end-to-end and acquire necessary knowledge.",[391,392,393,394,395,396],"Design and deploy advanced LLM models to automate complex manual processes across real-world verticals.","Build scalable data pipelines, optimize models for performance and accuracy, and prepare them for production.","Monitor and maintain deployed models serving governments and other institutions worldwide.","Develop AI solutions for energy production, government workflows, healthcare systems, and other high-impact applications.","Work directly with government officials and collaborate with founders, AI researchers, and software engineers.","Participate in code reviews, share knowledge, and uphold high-quality engineering practices.",[398,399,400,401,402],"Daily lunches","Commuter benefits","Unlimited PTO","Hybrid role based in the London office","Competitive salary plus equity","bachelor-degree","https://brain.co","actionData","errors"]

Agentic AI Platform Engineer

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