Build AI-native product features end-to-end, from UX to backend systems, using TypeScript across the stack.
Design and implement LLM-powered workflows (e.g., chat interfaces, decision support tools, automation flows) that are reliable, observable, and safe for healthcare use.
Integrate with EHRs and third parties via APIs, webhooks, and data pipelines, ensuring data consistency, correctness, and compliance.
Develop and orchestrate AI workflows using modern tooling (e.g., LangFuse, LangChain/LangGraph, n8n, Flowise or similar), with a focus on quality, flexibility, and iterative improvements.
Implement guardrails, fallbacks, and evaluation strategies to ensure AI features behave predictably and safely in production.
Solve complex debugging, testability, and deployability challenges with a pragmatic, systems-oriented mindset.
Shape the technical roadmap for AI-powered capabilities in partnership with product, data, and design teams.
Raise the bar for engineering quality through code reviews, documentation, and mentorship.

Requirements

9+ years of hands-on software engineering experience, including ownership of complex production systems.
Strong experience building applications end-to-end with TypeScript, React, and Node.js.
Demonstrated experience or strong interest in shipping user-facing AI or LLM-powered features into a product (e.g., chat experiences, RAG pipelines, intelligent workflows, decision support).
Prior experience with creating and improving LLM-assisted coding toolchains.
Familiarity with modern LLM application patterns, such as prompt orchestration, retrieval-augmented generation (RAG), model evaluation, and observability.
Experience integrating AI systems into real-world constraints: reliability, security, cost, latency, and UX.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

TypeScriptReactNode.jsAI workflowsLLM-powered featuresAPIswebhooksdata pipelinesdebuggingtestability

Soft Skills

pragmatic mindsetsystems-oriented mindsetmentorshipcollaborationcommunication