AI Engineer (Mid-Level)

Role details

ABOUT THE ROLE This is a mid-level AI Engineer position on the core product team at an early-stage AI startup, building agentic systems that automate complex, multi-step workflows across regulated and enterprise domains. You'll work across the full stack to ship production LLM-based services, with direct influence on product direction and user impact. WHAT YOU'LL DO - 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 DBs, 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 trust and reliability. - Ship full-stack AI products from MVP to enterprise-grade, designing APIs and data models, writing frontend and backend code, and operating production systems with CI/CD, monitoring, and testing. - Collaborate closely with founders, product, and design to prioritize work, define success metrics, and iterate on user feedback and telemetry. WHAT WE'RE LOOKING FOR - 2–8 years of software engineering experience with a track record of shipping user-facing or backend products. - Hands-on experience deploying LLMs or LLM-based services in production, including prompt design, orchestration, and tool integration. - Proficiency across the stack: Python plus TypeScript/React (or equivalent), cloud platforms (AWS or GCP), and relational or NoSQL databases. - Working knowledge of RAG patterns, vector databases, embeddings, and retrieval pipelines, with sound judgment on when and how to apply them. - Experience building automated tests, evaluations, and monitoring for AI systems to ensure reliability beyond demo environments. - Experience designing API-driven, high-throughput systems and real-time product features. - Familiarity with agent or workflow frameworks (e.g., LangGraph, CrewAI) and orchestration tools (e.g., Temporal, Trigger) is a plus. - Background in multi-tenant or enterprise-ready systems, or experience in regulated industries (healthcare, fintech, legal), is a plus. - Familiarity with fine-tuning, parameter-efficient tuning, or multi-modal model integration is a plus. - Strong ownership mindset — comfortable driving features end-to-end from data model to deployment and monitoring. COMPENSATION & BENEFITS Salary range: $180,000 – $400,000 USD annually. Visa sponsorship is not available. LOCATION On-site in San Francisco, CA, United States.