Director, AI Engineer - Fuelight
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This is a mid-level AI Engineer position on the core product team at an early-stage AI startup in the talent and recruitment space. You will design and ship agentic systems that automate complex, multi-step workflows across regulated and enterprise domains, working directly with a small founding team to deliver measurable user impact.
Design, build, and maintain agentic systems that automate multi-step workflows across domains such as healthcare, legal, fintech, logistics, and compliance.
Own production retrieval-augmented generation (RAG) pipelines and retrieval infrastructure, including vector databases, embeddings, and indexing for domain-specific search at scale.
Implement multi-agent orchestration, tool-calling, memory, and reasoning components to deliver robust AI-driven user experiences.
Develop evaluation and safety infrastructure to measure model performance, surface regressions, and enforce enterprise-level reliability.
Ship full-stack AI products from MVP to enterprise-grade, covering API and data model design, frontend and backend code, and production operations with CI/CD, monitoring, and testing.
Collaborate with product and design stakeholders to prioritize work, define success metrics, and iterate based on user feedback and telemetry.
2 to 8 years of software engineering experience with a track record of shipping user-facing or backend products.
Hands-on production experience deploying LLM-based services, including prompt design, orchestration, and tool integration.
Full-stack proficiency in Python and TypeScript/React (or equivalent), plus experience with cloud platforms (AWS or GCP) and relational or NoSQL databases.
Working knowledge of RAG patterns, vector databases, embeddings, and retrieval pipelines.
Experience building automated tests, evaluations, and monitoring for AI systems in production.
Experience with agent or workflow frameworks such as LangGraph or CrewAI, and orchestration tools such as Temporal or Trigger.
Familiarity with fine-tuning, parameter-efficient tuning, or multi-modal model integration.
Background building multi-tenant or enterprise-ready systems, or experience in a regulated industry such as healthcare, fintech, or legal.
Experience designing API-driven, high-throughput systems and real-time product features.
Startup operating experience and comfort working in a cross-functional, high-ownership environment.
Base salary: $180,000 to $400,000 USD annually, plus equity. Visa sponsorship is not available for this role.
On-site in San Francisco, California, United States. Candidates must be able to work on-site or relocate; this role is not available as fully remote.
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97 more AI Engineer roles in San Francisco
210K – 250K
Our estimate — this employer did not publish a salaryOur estimate, not the employer’s. Worked out from the middle half of 67 comparable roles on Neural Jobs that did publish a salary, in the same field, country and experience band. The real figure for this job may be different.
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