AI Engineer

harriscomputer; United States; Remote; USD 100,000 - 150,000; Full time

Benefits offered by this job

Remote work

Office optional

Job summary

Harris Computer is seeking a software engineer to build production AI features for clinical and revenue cycle workflows within a small engineering team. You’ll own features and grow into an AI engineering role over 12 to 18 months, learning from senior teammates and taking ownership of projects.

You’ll work with Python, C#, and TypeScript to deliver robust production code, connect agents to healthcare data, and implement secure model gateways while maintaining privacy compliance.

Qualifications

• At least two years of software development experience, including Python, C#/.NET, and REST API development.
• Experience with Git and CI/CD tools, plus at least one year of front-end TypeScript experience.
• At least one year building an LLM application or project involving prompts and tool use.
• Exposure to agent frameworks, MCP, or LLM observability tools.

Responsibilities

• Build AI agents and workflows with tool use and state management using LangChain, LangGraph, or similar frameworks.
• Create Model Context Protocol tools and servers that connect agents to healthcare data and services.
• Implement features for model and API gateways, including routing, authentication, rate limits, and logging.
• Add tracing and evaluations to AI pipelines using tools such as OpenTelemetry and Langfuse.
• Write and review tested production code in Python, C#, and TypeScript.
• Work with healthcare data, including interoperability and claims information, while following privacy requirements; pair with senior engineers and take ownership of features.

Skills

Python

C#/.NET

REST API

Git

CI/CD

TypeScript

LLM Apps

Agent Frameworks

Observability

Job description

Role overview

Build production AI features for clinical and revenue cycle workflows as part of a small engineering team. The role suits an experienced software developer growing into AI engineering: you’ll learn from senior teammates, own features, and develop toward a senior-level role over an expected 12 to 18 months.

Responsibilities

• Build AI agents and workflows with tool use and state management using LangChain, LangGraph, or similar frameworks.
• Create Model Context Protocol tools and servers that connect agents to healthcare data and services.
• Implement features for model and API gateways, including routing, authentication, rate limits, and logging.
• Add tracing and evaluations to AI pipelines using tools such as OpenTelemetry and Langfuse.
• Write and review tested production code in Python, C#, and TypeScript.
• Work with healthcare data, including interoperability and claims information, while following privacy requirements; pair with senior engineers and take ownership of features.

Requirements

• At least two years of software development experience, including Python, C#/.NET, and REST API development and support.
• Experience with Git and CI/CD tools, plus at least one year of front-end TypeScript experience.
• At least one year building an LLM application or project involving prompts and tool use.
• At least one year of exposure to agent frameworks, MCP, or LLM observability tools through work or personal projects.
• Interest in healthcare and willingness to learn relevant privacy and interoperability standards.
• Clear written and verbal communication, sound troubleshooting skills, and ability to work both independently and with a team.

Nice to have

• Experience with Azure, containers, cloud services, retrieval-augmented generation, or vector databases.
• Background in healthcare or another regulated industry.

Benefits and work setup

The position can be based in an office or a remote home office. Work may involve protected health or personal information, which must be handled confidentially.