Mid-Level AI Engineer

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.