2 months ago
Responsibilities
- Perform the customer’s operational job 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 Forward Deployed Executives.
- Build and ship production GenAI systems, including LLM applications, agentic workflows, retrieval and structured-extraction pipelines, backend services, data pipelines, and AI layers.
- Build evaluation harnesses, define success metrics, instrument systems, and use evaluations to guide product and engineering decisions.
- Write production code across the stack, primarily using Python and TypeScript.
- Deploy maintainable, observable, containerized systems to AWS or other customer-required cloud environments.
- Feed lessons from customer engagements back into Provectus blueprints and delivery tooling.
- Drive customer adoption, challenge assumptions with stakeholders, and own work measured against business-unit KPIs.
Requirements
- 8+ years building software, including substantial production-code ownership and current hands-on engineering.
- Willingness to spend weeks performing an operator’s job before writing code.
- Ability to quickly learn unfamiliar business domains and communicate credibly with senior stakeholders.
- Experience shipping GenAI or LLM systems to production 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, CI/CD, and production operations.
- Solid AI/ML foundations and the ability to reason about model failure modes.
- Strong hands-on production experience with Claude Code and Cowork.
- Fluent written and spoken English.
- Preferred experience includes founding or leading engineering organizations before returning to individual contribution, financial services or healthcare domain depth, consulting or embedded delivery, data platforms, MLOps, classical ML, fine-tuning, inference optimization, graph databases, infrastructure as code, open-source contributions, or public applied-AI writing.
Benefits
- Remote-friendly culture.
- B2B contract or full-time 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 across Financial Services and Healthcare with direct leadership visibility.
- Hiring process includes an introductory conversation, two live engineering sessions, a redesign session, and a team and practice conversation.
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.