AI Engineer (Mid-Level)

Role details

ABOUT THE ROLE Join a core product team building agentic AI systems that automate complex, multi-step workflows across regulated and enterprise domains. You will ship production LLM services and help make them reliable, safe, and useful for customers. WHAT YOU'LL DO - Design and maintain agentic systems for workflows across healthcare, legal, fintech, logistics, and compliance. - Build and operate RAG pipelines, including vector databases, embeddings, indexing, and domain-specific search. - Develop multi-agent orchestration, tool-calling, memory, and reasoning components. - Create evaluation, testing, and safety infrastructure to measure performance and catch regressions. - Deliver full-stack AI features, from APIs and data models to frontend and backend code, deployment, monitoring, and ongoing operations. - Work with product and design partners to prioritize work, define success measures, and improve features using user feedback and telemetry. WHAT WE'RE LOOKING FOR - Two to eight years of software engineering experience building and shipping user-facing or backend products, preferably at a startup or product-focused company. - Professional experience deploying LLM-based services, including prompt design, orchestration, and tool integration. - Proficiency with Python and TypeScript/React or equivalent, plus cloud platforms such as AWS or GCP and relational or NoSQL databases. - Working knowledge of RAG, vector databases, embeddings, and retrieval pipelines. - Experience building automated tests, evaluations, and monitoring for production AI systems, as well as API-driven, high-throughput systems and real-time features. - Familiarity with agent or workflow frameworks such as LangGraph or CrewAI, and orchestration tools such as Temporal or Trigger. - Experience with multi-tenant or enterprise systems, regulated industries, fine-tuning, or multimodal models is useful. COMPENSATION & BENEFITS Base salary: $150,000 to $180,000 annually. Visa sponsorship is not available. LOCATION On-site in San Francisco, California, United States.