Mid-Level AI Engineer

ABOUT THE ROLE Join the core product team at an early-stage AI software company, building agentic systems that automate complex workflows across regulated and enterprise domains. You will ship production AI services and full-stack features designed for reliability, safety, and measurable user impact. WHAT YOU'LL DO - Build and maintain agentic systems that automate multi-step workflows across healthcare, legal, fintech, logistics, and compliance. - Own RAG pipelines and retrieval infrastructure, including vector databases, embeddings, and indexing. - Implement multi-agent orchestration, tool-calling, memory, and reasoning capabilities. - Develop evaluation, testing, safety, and monitoring systems to measure performance and catch regressions. - Ship full-stack products by designing APIs and data models, writing frontend and backend code, and operating production systems. - Collaborate with product, design, and company leadership to prioritize work and iterate based on user feedback and telemetry. WHAT WE'RE LOOKING FOR - Two to eight years of software engineering experience delivering shipped user-facing or backend products, including professional AI engineering experience beyond academic research. - Production experience deploying LLM 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 designing API-driven, high-throughput systems and real-time product features. - Experience building automated tests, evaluations, and monitoring for production AI systems. - Familiarity with agent or workflow frameworks such as LangGraph or CrewAI and orchestration tools such as Temporal or Trigger. - Enterprise or multi-tenant systems experience, or experience in regulated industries, is valuable. COMPENSATION & BENEFITS Annual salary: $150,000 to $180,000 USD. Visa sponsorship is not available. LOCATION On-site in San Francisco, California, United States.