Mid-Level AI Engineer
Summary
Build and ship production agentic AI systems and full-stack features at an early-stage AI software company — owning RAG pipelines, multi-agent orchestration, and evaluation/monitoring, using Python, TypeScript/React, LLM services, and cloud platforms, on-site in San Francisco.
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.
Skills
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