3 months ago
Base Salary
$120k - $180k/yr
Responsibilities
- Perform the customer’s operational role for two to four weeks to understand its constraints from the inside.
- Reach working fluency in unfamiliar business domains and redesign functions from first principles with operators and executives.
- Build and ship production GenAI systems, including LLM applications, agentic workflows, retrieval and structured-extraction pipelines, backend services, data pipelines, and AI-layer components.
- Create evaluation harnesses and define measurable success criteria for non-deterministic systems before building features.
- Write production code across the stack using tools suited to each customer’s needs.
- Deploy containerized, observable, and maintainable systems on AWS or other cloud platforms as required.
- Feed field learnings back into the company’s industry blueprints.
- Drive customer adoption, shape commitments before delivery, and own outcomes tied to business-unit KPIs.
Requirements
- At least 8 years of software-building experience, including substantial production coding accountability.
- Willingness to spend weeks performing a customer’s job before writing code.
- Demonstrated ability to learn unfamiliar business domains quickly.
- Production experience shipping GenAI or LLM systems and handling post-prototype operational challenges.
- Experience building or owning evaluation suites for non-deterministic systems.
- Strong engineering fundamentals and proficiency in Python and/or TypeScript.
- Cloud-native AWS delivery experience with containers, Kubernetes or ECS, infrastructure as code, and operational ownership.
- Ability to communicate credibly with business-unit leaders, CTOs, customer engineers, operators, and executives.
- Solid AI/ML foundations and understanding of model failure modes.
- Strong hands-on production experience with Claude Code and Cowork.
- Fluent written and spoken English.
- Preferred experience includes founding, CTO, or engineering leadership experience; depth in financial services, insurance, healthcare, or asset management; consulting or embedded delivery; data platforms; MLOps and classical ML; model fine-tuning or inference optimization; graph databases; infrastructure as code; and open-source contributions or public writing on applied AI.
Benefits
- Remote-friendly culture.
- B2B contract or full-time employment model.
- Performance-based bonuses and strong earning potential.
- Unlimited vacation policy.
- Health, vision, and dental insurance.
- 401(k) matching plan.
- Opportunity to work on frontier AI delivery and help shape enterprise AI adoption.
- Direct visibility to leadership and the opportunity to build AI delivery tooling and frameworks.
Tech Stack
Categories
Forward Deployed
About Provectus
Provectus is an AI consultancy and solutions provider that designs and implements machine learning, data analytics, MLOps, and generative AI systems for enterprises in finance, insurance, healthcare, retail, media, and manufacturing. It sells consulting engagements and implementation services to help clients adopt AI and cloud platforms in production. Founded in 2010 and headquartered in San Francisco, the company is privately held.