2 months ago
Base Salary
$120k - $200k/yr
Responsibilities
- Perform the customer’s operational role for two to four weeks to learn its constraints and workflows from the inside.
- Rapidly develop working fluency in unfamiliar business domains and redesign functions from first principles with operators and Forward Deployed Executives.
- Ship production GenAI systems, including LLM applications, agentic workflows, retrieval and structured-extraction pipelines, backend services, data pipelines, and AI layers.
- Build evaluation harnesses before features, define success metrics, instrument systems, and use evaluation results to guide design.
- Write production code across the stack using tools suited to the customer’s needs.
- Deploy containerized, observable, and maintainable systems on AWS or other required cloud platforms.
- Feed lessons from customer engagements back into the company’s reusable AI blueprints.
- Drive customer adoption and own engineering decisions against the Business Unit’s key performance indicators.
- Shape commitments before delivery and communicate credibly with customer engineers, operators, and executives.
Requirements
- 8+ years of software-building experience, including substantial accountable production coding, with continued hands-on engineering work.
- Willingness to spend weeks performing an operator’s job before writing code and to work in embedded customer environments.
- Ability to quickly learn unfamiliar business functions and engage credibly with domain experts.
- Production experience shipping GenAI or LLM systems, beyond demos or notebooks.
- Experience building or owning evaluation suites for non-deterministic systems and explaining the metrics used.
- Strong software 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 operational ownership.
- Ability to work with ambiguity, take ownership, and communicate effectively with business-unit leaders, CTOs, engineers, operators, and executives.
- Solid AI/ML foundations and understanding of model capabilities and 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 work followed by a return to individual contribution; depth in financial services, insurance, healthcare, or asset management; consulting or embedded customer delivery; data platforms; MLOps and classical ML; 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 stated OTE potential.
- Unlimited vacation policy.
- Health, vision, and dental insurance.
- 401(k) matching plan.
- Work with frontier AI, cloud solutions, Cowork Activation, Agentic SDLC, and industry AI blueprints.
- Direct visibility to leadership and the opportunity to shape 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.