2 hours ago
San Francisco, CA, USAMid Level / Senior
Base Salary
$150k - $180k/yr
Responsibilities
- Design and maintain agentic systems that automate multi-step workflows across regulated and enterprise domains.
- Build production RAG pipelines and retrieval infrastructure using 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.
- Build and ship full-stack AI products, including APIs, data models, frontend and backend code, and production operations.
- Partner with product and design teams to prioritize work, define success metrics, and iterate using user feedback and telemetry.
Requirements
- Two to eight years of software engineering experience delivering user-facing or backend products.
- Broad production AI and ML engineering experience, including LLM service deployment, 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 through deployment and monitoring.
- Enterprise or multi-tenant system experience, regulated-industry experience, and familiarity with fine-tuning or multimodal models are valuable.
Benefits
- On-site role in San Francisco, California, United States.