AI Engineer - Healthcare Platform

About the role

Harris is modernizing its platform and adding AI capabilities across clinical and revenue cycle workflows. It is forming a small AI engineering team in Costa Rica and is looking for an AI Engineer with solid development experience who wants to grow into AI engineering. You will build real AI features in production, learn from the AI Solutions Engineer and Senior AI Engineer, and have a clear path to a senior role within 12 to 18 months.

Key responsibilities

• Build AI agents and workflows with tool calling and state management, using LangChain/LangGraph or similar.
• Build MCP (Model Context Protocol) tools and servers that connect agents to CareTracker data and services.
• Implement features on the AI gateway (LiteLLM) and API gateway, such as model routing, rate limiting, authentication and logging.
• Add tracing and evaluations to agent pipelines with OpenTelemetry and Langfuse.
• Write production code in Python.NET (C#) and TypeScript, with tests and code reviews.
• Work with healthcare data (HL7, FHIR, claims) following HIPAA and PHI rules.
• Pair with senior engineers, take ownership of features and grow your design skills.

Required profile

• 2+ years of software development experience.
• 2+ years coding in Python and 2+ years coding .NET (C#).
• 2+ years developing and supporting REST APIs, with Git and CI/CD tools.
• 1+ year of TypeScript front-end experience.
• 1+ year building at least one application or project with LLMs (Claude, OpenAI or similar), including prompts and tool use.
• 1+ year of exposure to agent frameworks (LangChain, LangGraph or similar), MCP, or LLM observability tools.
• Interest in healthcare and willingness to learn HIPAA, PHI and interoperability standards.

Required skills

• Python.NET (C#), TypeScript
• REST APIs, Git, CI/CD
• LangChain/LangGraph, LiteLLM, OpenTelemetry, Langfuse
• Additional: Azure, containers, cloud services, RAG and vector databases, prior healthcare or regulated industry experience