Full Stack Engineer

About the role

We are looking for a Senior Full-Stack AI Engineer to join a healthcare technology project and become the technical anchor of a small, three-person engineering team.

You will take ownership of both the AI agent architecture and the full-stack application, working closely with two other engineers. This is a hands-on senior role combining backend development, AI orchestration, system architecture, and frontend engineering.

The project focuses on building AI-powered clinical workflow automation tools that help healthcare professionals process information and prepare clinical documentation while keeping all critical decisions under human control.

What you'll do

• Design and build production-ready AI agent pipelines, including intake triage, chart retrieval, cross-referencing, flag detection, protocol matching, and preparation assembly.
• Develop and maintain AI orchestration across models such as Anthropic and OpenAI, optimizing token usage, cost, and latency.
• Build and integrate MCP (Model Context Protocol) servers and tool interfaces, ensuring secure and scope-limited access to healthcare data.
• Implement robust guardrails and human-in-the-loop review workflows. All patient-facing information and chart updates must go through the appropriate clinical approval process.
• Develop the clinician-facing application using React and TypeScript, including nurse workspaces, protocol libraries, and physician summary views.
• Build and maintain backend services using Python and FastAPI.
• Integrate with healthcare systems and EMR vendor APIs for chart retrieval and draft-only document filing.
• Establish monitoring, logging, evaluation, and testing practices for AI agents and application workflows.
• Provide technical guidance and coordinate implementation across a team of three engineers.

Requirements

• 5+ years of commercial full-stack engineering experience.
• Strong hands-on experience with Python and FastAPI.
• Solid production experience with React and TypeScript.
• Proven experience building and deploying AI agentic systems in production, including:
  • Tool use and function calling.
  • Multi-step agent workflows and pipelines.
  • Guardrails, validation, and fail-closed mechanisms.
  • LangChain, LangGraph, or equivalent frameworks.
• Practical experience building or integrating MCP servers and designing secure tool interfaces.
• Experience delivering software under HIPAA or equivalent healthcare data privacy and security requirements.
• Understanding of least-privilege access, audit logging, data protection, and secure system design.
• Experience with multi-model orchestration, including routing tasks between different LLM providers based on cost, latency, and capabilities.
• Strong architectural thinking and the ability to make technical decisions independently.
• Upper-Intermediate or higher English communication skills.

Will be a plus

• Experience with speech-to-text systems and transcript-processing pipelines.
• Production integrations with EMR systems, FHIR, or other healthcare APIs.
• Experience with local model serving, such as vLLM or Ollama.
• Familiarity with AI evaluation and monitoring tools such as LangSmith, promptfoo, or custom evaluation frameworks.
• Experience building clinical workflow automation or EMR-adjacent products.
• Understanding of clinical workflows and the importance of keeping AI-generated outputs subject to physician review.