About the Role

Join the core product team at a growing AI SaaS company to build agentic systems that automate complex workflows across regulated and enterprise domains. You will work across the stack to deliver reliable, production-ready AI services and user experiences.

What You'll Do

Design and maintain agentic systems that automate multi-step workflows across healthcare, legal, fintech, logistics, and compliance.

Build production retrieval-augmented generation pipelines and retrieval infrastructure, including vector databases, embeddings, and indexing.

Implement multi-agent orchestration, tool calling, memory, and reasoning components.

Develop evaluation and safety infrastructure to measure performance, detect regressions, and support reliable enterprise use.

Ship full-stack AI products by designing APIs and data models, writing frontend and backend code, and operating production systems with CI/CD, monitoring, and testing.

Work with product and design partners to prioritize work, define success metrics, and iterate using user feedback and telemetry.

What We're Looking For

Two to eight years of software engineering experience delivering user-facing or backend products.

Broad production AI and ML engineering experience, including deployment of LLM services, 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.

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

Experience designing API-driven, high-throughput systems and real-time product features, with end-to-end ownership from data model through deployment and monitoring.

Enterprise or multi-tenant system experience, or experience in regulated industries such as healthcare, fintech, or legal, is valuable. Familiarity with fine-tuning or multimodal models is also useful.

Compensation & Benefits

Base salary is $150,000 to $180,000 annually. Visa sponsorship is not available.

Location

On-site in San Francisco, California, United States.