9 days ago
San Francisco, CA, USA or New York, NY, USASenior
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
