3 months ago
Responsibilities
- Spend weeks embedded in customer operations performing roles such as underwriting, claims processing, analysis, or revenue-cycle work before designing automation.
- Rebuild business functions from first principles with operators and Forward Deployed Executives, then implement the resulting systems.
- Ship production GenAI/LLM applications and handle post-prototype engineering challenges.
- Build or own evaluation suites for nondeterministic systems and explain the metrics and rationale.
- Work productively in unfamiliar codebases and languages while remaining hands-on in production engineering.
- Deliver cloud-native systems on AWS using containers, Kubernetes or ECS, infrastructure as code, and CI/CD.
- Lead redesign and scoping conversations with business-unit leaders, CTOs, and other senior stakeholders.
- Own ambiguous engagements autonomously and measure success by business-unit outcomes.
Requirements
- 8+ years of software-building experience, including substantial production coding accountability.
- Current hands-on engineering experience and willingness to remain in the code.
- Production experience shipping GenAI/LLM systems rather than only demos or notebooks.
- Experience building or owning evaluation suites for nondeterministic systems.
- Proficiency in Python and/or TypeScript and strong general engineering fundamentals.
- Experience delivering cloud-native systems on AWS, including containers, Kubernetes or ECS, infrastructure as code, and CI/CD.
- Ability to learn unfamiliar business domains quickly and work credibly with senior stakeholders.
- Solid AI/ML foundations and ability to reason about model failure modes.
- Strong hands-on production experience with Claude Code and Cowork.
- Fluent written and spoken English.
- Preferred: experience as a founder, CTO, or engineering leader returning to individual contribution.
- Preferred: depth in financial services, insurance, healthcare, or asset management.
- Preferred: consulting, professional services, or embedded customer-facing delivery experience.
- Preferred: data platforms, MLOps, classical ML, fine-tuning, inference optimization, graph databases, AWS CDK, CloudFormation, Terraform, open-source contributions, or public writing on applied AI.
Benefits
- Remote-friendly culture.
- Performance-based bonuses and OTE range of $150-180k.
- Unlimited vacation policy.
- Health, vision, and dental insurance.
- 401(k) matching plan.
- Opportunity to work on frontier AI delivery and shape enterprise AI adoption.
- Short, hands-on interview loop with live engineering sessions; candidates may use an LLM assistant in some sessions.
- Work in small, senior teams alongside Principal Architects and Forward Deployed Engineers.
Tech Stack
Categories
Forward DeployedSolutions Engineering
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.