Senior AI Engineer

• Build AI agents and multi-agent workflows, including tool calling, orchestration, agent state and memory management, retries and human-in-the-loop steps, using LangChain/LangGraph or similar
• Build MCP servers and tools enabling agents to safely use CareTracker data and services
• Develop AI gateway components on LiteLLM, including model routing across Claude and Azure OpenAI, fallbacks, budgets, cost tracking and PHI redaction
• Develop API gateway components, including authentication, rate limiting and versioning
• Instrument agent pipelines with OpenTelemetry and Langfuse for traces, evaluations, latency, cost and quality metrics
• Write production code in Python, .NET (C#) and TypeScript, with tests, code reviews and documentation
• Integrate with CareTracker services and healthcare data including Oracle, Postgres, HL7, FHIR and claims while following HIPAA and PHI rules
• Review code and pair with mid-level engineers
• Lead features end to end
• Work closely with the AI Solutions Engineer and take ownership of significant platform components
• Help mid-level engineers on the team

• 5+ years of experience working in software development
• 5+ years hands-on experience coding in Python
• 5+ years of experience developing and supporting REST APIs, authentication (OAuth2, JWT) and API security
• 5+ years of experience working with Git, CI/CD, containers and cloud services (Azure preferred)
• 2+ years of experience coding .NET (C#)
• 2+ years hands-on experience building applications with LLMs (Anthropic Claude, Azure OpenAI or similar), including prompting, tool use and structured outputs
• 2+ years of experience building agents with LangChain, LangGraph or a similar framework
• 2+ years of exposure to MCP, LiteLLM, and observability tools such as OpenTelemetry or Langfuse
• 1+ years of experience working with TypeScript in the front-end
• 1+ years of experience or strong interest in healthcare, including HIPAA and PHI handling
• Healthcare interoperability experience with FHIR and HL7
• Experience with RAG, vector databases and LLM evaluation
• Infrastructure as code experience with Bicep or Terraform
• Ability to communicate, understand and work with other team members
• Demonstrated ability to work effectively in a collaborative, cohesive, team-based environment
• Exceptional analytical, troubleshooting and problem-solving skills
• Positive, results-oriented mindset
• Ability to multitask effectively and consistently meet assigned deadlines
• Self-starter able to work independently and in groups
• Ability to speak comfortably in front of a group of customers
• Ability to comply with confidentiality requirements and Harris security and privacy policies when handling PHI, PII and privacy records

• Full-time employment
• Remote home office location option
• Standard office equipment provided/used, including computers, phones, photocopiers, filing cabinets and fax machines
• Security Awareness training