AI Engineer (Mid-Level)

About the Role

This is a mid-level AI Engineer position on the core product team at a pre-seed AI startup, building agentic systems that automate complex, multi-step workflows across regulated and enterprise domains. You will work across the full stack to ship production LLM-based services, own reliability and safety infrastructure, and collaborate closely with founders and design to deliver measurable 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 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 trust and reliability.

• Ship full-stack AI products from MVP to enterprise-grade by designing APIs and data models, implementing frontend and backend code, and operating production systems with CI/CD, monitoring, and testing.

• Collaborate with founders, product, and design to prioritize work, define success metrics, and iterate based on user feedback and telemetry.

What We're Looking For

• 2 to 8 years of software engineering experience with a track record of shipping user-facing or backend products, ideally in a startup environment.

• 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, with sound judgment on when to apply each.

• Experience building automated tests, evaluations, and monitoring for AI systems to ensure production reliability beyond demos.

• Familiarity with agent or workflow frameworks such as LangGraph or CrewAI, and orchestration tools such as Temporal or Trigger.

• Background in multi-tenant or enterprise-ready systems, or experience in regulated industries such as healthcare, fintech, or legal.

• Experience designing API-driven, high-throughput systems and real-time product features.

• An ownership mindset: comfortable delivering end-to-end features from data model to deployment and monitoring.

Compensation & Benefits

Salary range:$180,000 to $400,000 USD annually (inclusive of equity component). Visa sponsorship is not available for this role.

Location

On-site inSan Francisco, California, United States. Candidates should be able to work in-office or willing to relocate.