Senior AI Engineer - Remote Health AI in Production

harriscomputer; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

Harris Computer seeks a senior software engineer to modernize clinical and revenue cycle software with AI capabilities. You’ll own substantial platform components, collaborate with an AI solutions specialist, and mentor junior engineers on a small, collaborative team.

You will build AI agents, connect to healthcare data via secure APIs, and contribute to model gateways and observability while delivering production-grade code in Python, C#, and TypeScript. A healthcare privacy focus is essential.

Qualifications

• 5+ years in software development with Python and REST APIs.
• 5 years with Git, CI/CD, containers, and cloud services (Azure preferred).
• 2+ years with C#/ .NET, LLM apps, and agent frameworks such as LangChain or LangGraph.
• 2+ years of exposure to MCP, LiteLLM, and observability tools such as OpenTelemetry or Langfuse.
• 1+ year using TypeScript for front-end; healthcare privacy interest.

Responsibilities

• Build AI agents and multi-agent workflows, including tool use, orchestration, state and memory, retries, and human review steps.
• Develop Model Context Protocol servers and tools that connect agents securely to healthcare data and services.
• Contribute to model and API gateways, including routing, authentication, rate limits, fallbacks, budget controls, cost tracking, and sensitive-data redaction.
• Add tracing, evaluations, and metrics for latency, cost, and output quality.
• Deliver tested, documented production code in Python, C#, and TypeScript; review code and lead features from design through delivery.
• Integrate with clinical and claims data while following privacy and healthcare security requirements.

Skills

Python

C#

TypeScript

REST APIs

Azure

Git

CI/CD

LangChain

LLM apps

Security

Tools

OpenTelemetry

Langfuse

Job description

Harris Computer seeks a senior software engineer to modernize clinical and revenue cycle software with AI capabilities. You’ll own substantial platform components, collaborate with an AI solutions specialist, and mentor junior engineers on a small, collaborative team.

You will build AI agents, connect to healthcare data via secure APIs, and contribute to model gateways and observability while delivering production-grade code in Python, C#, and TypeScript. A healthcare privacy focus is essential.