AI Engineering

Who We Are

We're building tools that help healthcare teams work faster and smarter. Our software handles the tedious parts of patient care coordination so that clinicians can focus on patients. We ship fast, iterate constantly, and believe AI should amplify human capability, not replace it.

You'll own the intelligence layer of our platform—the orchestration systems that coordinate LLM calls, the retrieval pipelines that surface relevant medical history, and the evaluation frameworks that keep it all honest.

You're a generalist who can and will ship across the stack, but you geek out on AI infrastructure. You've opinions on prompt management, you've debugged token limits at 2am, and you know that "it works in the playground" means nothing. You're pushing the limits of your bot swarm farther every day to maximize your impact and excited for the future.

You might:

• Improve our Lang Graph orchestration to handle complex clinical workflows
• Build retrieval pipelines that search patient records using embeddings and vector similarity
• Set up Langfuse/Lang Smith 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 Type Script or Python service(s) that ties it all together

• 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. Lang Chain, Lang Graph, or similar. You know how to chain calls, handle failures, and manage state.
• Observability instincts. You've used Langfuse, Lang Smith, 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 Type Script 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.

• 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

• AI/ML:
  Lang Graph, Vertex AI, Gemini, embeddings, vector search
• Observability:
  Langfuse, Lang Smith
• Backend:
  Python (FastAPI), Type Script (Fastify)
• Data:
  PostgreSQL, Big Query, FHIR
• Infrastructure: GCP (Cloud Run, Pub/Sub), Terraform

• 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

Basalt Health is an equal opportunity employer.

We are only able to consider candidates who are already authorized to work in the United States without employer sponsorship.