Staff AI Engineering

Who We Are

The Role

• Improve our LangGraph orchestration to handle complex clinical workflows
• Build retrieval pipelines that search patient records using embeddings and vector similarity
• Set up Langfuse/LangSmith tracing to debug why a summarization chain is hallucinating
• Fine-tune a model on medical terminology or clinical note structure
• Evaluate Gemini vs Claude vs GPT for specific healthcare tasks
• Design the data pipeline that turns unstructured clinical docs into searchable vectors reliably and responsibly
• Write the TypeScript or Python service(s) that ties it all together

You Should Have

• Hands-on LLM experience. You've built with OpenAI, Anthropic, or Google APIs. You understand context windows, temperature, and when to use which model.
• Orchestration chops. LangChain, LangGraph, or similar. You know how to chain calls, handle failures, and manage state.
• Observability instincts. You've used Langfuse, LangSmith, or Phoenix. You know that production AI without tracing is flying blind.
• Strong hold of agentic code authoring systems. You are pushing the limits of Claude, Codex, Gemini, Copilot, or similar daily.
• Retrieval/RAG experience. You've built vector search with Pinecone, Weaviate, pgvector, or Vertex AI Matching Engine. You understand chunking strategies, embedding models, and reranking.
• Generalist coding ability. You can write Python for ML pipelines and TypeScript for services. You're not afraid of infrastructure and you're not too caught up in the moment to pitch in on the boring stuff.

Bonus Points

• Fine-tuning experience (LoRA, PEFT, or full fine-tunes)
• Healthcare/FHIR/clinical data background
• Experience with Gemini models and Vertex AI
• Evaluation frameworks (RAGAS, custom evals, human-in-the-loop)
• You've made embeddings work on messy, real-world data

Tech Stack

• AI/ML: LangGraph, Vertex AI, Gemini, embeddings, vector search
• Observability: Langfuse, LangSmith
• Backend: Python (FastAPI), TypeScript (Fastify)
• Data: PostgreSQL, BigQuery, FHIR
• Infrastructure: GCP (Cloud Run, Pub/Sub), Terraform

What We Offer

• Competitive salary + equity
• Health insurance (we're a healthcare company—we get it)
• Remote-first, async-friendly
• Small team where your work ships to production, not a backlog

Compensation