AI Engineer

• 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 design skills
• Adhere to confidentiality requirements and Harris’ Security and Privacy policies when encountering protected or private information

• 2+ years of experience working in software development
• 2+ years of experience coding in Python
• 2+ years of experience coding .NET (C#)
• 2+ years of experience developing and supporting REST APIs
• Experience working with Git and CI/CD tools
• 1+ years of experience working with TypeScript in the front-end
• 1+ years of experience building at least one application or project with LLMs (Claude, OpenAI or similar), including prompts and tool use
• 1+ years of exposure to agent frameworks (LangChain, LangGraph or similar), MCP, or LLM observability tools, through work or personal projects
• Interest in healthcare and willingness to learn HIPAA, PHI and interoperability standards
• Excellent troubleshooting and problem-solving skills
• Strong communication skills, both written and verbal
• Ability to work independently and as part of a team
• Willingness to learn and grow within a team

• Clear path to a senior role within 12 to 18 months
• Opportunity to learn from the AI Solutions Engineer and Senior AI Engineer
• Professional office environment or remote home office location