AI Engineer (Mid-Level)

About the role

We’re seeking a mid-level AI Engineer to join a core product team building agentic systems that automate complex, multi-step workflows across regulated and enterprise domains. You’ll work across the stack to ship production LLM-based services, ensure reliability and safety, and collaborate with leadership, product, and design to deliver measurable user impact.

What you’ll do

• Design, build, and maintain agentic systems that automate multi-step workflows across industries such as healthcare, legal, fintech, logistics, and compliance.
• Own production retrieval-augmented generation (RAG) pipelines and retrieval infrastructure including vector databases, embeddings, and 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 ensure 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 product and design to prioritize work, define success metrics, and iterate based on user feedback and telemetry.

What we’re looking for

• 2–8 years of software engineering experience delivering shipped user-facing or backend products.
• Practical experience deploying LLMs or LLM-based services in production, including prompt design, orchestration, and tool integration.
• Proficiency across the stack (Python and TypeScript/React or equivalent); experience with cloud platforms (AWS or GCP) and relational or NoSQL databases.
• Working knowledge of retrieval-augmented generation (RAG) patterns, vector databases, embeddings, and retrieval pipelines with sound judgment on approaches.
• Experience building automated tests, evaluations, and monitoring for AI systems to ensure reliability beyond demos.
• Experience with API-driven, high-throughput systems and real-time product features.
• Background building multi-tenant or enterprise-ready systems, or experience in regulated industries (healthcare, fintech, legal).
• Familiarity with fine-tuning, parameter-efficient tuning, or multi-modal model integration.
• Experience with agent or workflow frameworks (e.g., LangGraph, CrewAI) and orchestration tools (e.g., Temporal, Trigger).

Compensation & benefits

• Salary range: 180,000 – 400,000 USD per year.
• Full-time employment. Visa sponsorship not provided.

Location

Primary location: San Francisco, California, United States. This role supports a remote-friendly setup with the option to work from the office as needed.