Senior AI Engineer

Harris Computer; United States; Remote; USD 140,000 - 190,000; Full time

Job summary

Harris is modernizing its platform and building an AI engineering team to advance clinical and revenue cycle workflows. You will write production-grade Python, .NET and TypeScript code, own key features, and mentor peers on end-to-end delivery.

You will contribute to AI agents, MCP servers, and gateway components, while ensuring HIPAA/PHI compliance and robust observability with OpenTelemetry and Langfuse.

Qualifications

• 5+ years of software development experience.
• 5+ years Python development.
• 5+ years REST APIs, OAuth2/JWT and API security.
• 5+ years Git, CI/CD, containers and cloud services (Azure preferred).
• 2+ years C#/.NET development.
• 2+ years building LLM-powered apps with prompting and tools.
• 2+ years creating agents with LangChain/LangGraph.
• 2+ years exposure to MCP, LiteLLM, OpenTelemetry or Langfuse.
• 1+ years TypeScript frontend work.
• 1+ years or strong interest in healthcare, HIPAA/PHI handling.

Responsibilities

• Build AI agents and multi-agent workflows using LangChain/LangGraph.
• Develop MCP servers and tools for safe CareTracker data usage.
• Contribute to AI gateway and API gateway components (routing, auth, costs).
• Instrument agent pipelines with OpenTelemetry and Langfuse.
• Write production code in Python, .NET (C#) and TypeScript with tests and reviews.
• Integrate with CareTracker services and healthcare data while following HIPAA/PHI rules.
• Review code and mentor mid-level engineers; lead features end-to-end.

Skills

AI engineering

Python

TypeScript

C#

REST APIs

Git / CI/CD

LangChain / LangGraph

OpenTelemetry

Healthcare data security

Team leadership

Tools

LangChain

LangGraph

LiteLLM

OpenTelemetry

Langfuse

Job description

Here at Harris, you’ll be working as part of 5 different business verticals, Public Sector, Healthcare, Utilities, Insurance and Private sector, with over 12,000 employees and more than 100,000 customers located in 200 countries around the globe. We need your help to keep growing and we hope you can become an integral part of the Harris family.

Job Summary:

We are modernizing its platform and adding AI capabilities across clinical and revenue cycle workflows. We are forming a small AI engineering team in Costa Rica, and we are looking for a Senior AI Engineer who writes solid production code and wants to build real AI systems. You will work closely with our AI Solutions Engineer, take ownership of significant parts of the platform, and help the mid-level engineers on the team.

Primary Functions :

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

Job Qualifications:

The qualifications we are looking for are mixture of work experience and educational background.

They are split into Minimum Qualifications (must have) and Additional Qualifications (nice to have) along with soft skills (competencies) needed for the role:

Minimum Qualifications:

• 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): 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.

Additional Qualifications:

• Healthcare interoperability experience (FHIR, HL7).
• Experience with RAG, vector databases and LLM evaluation.
• Infrastructure as code (Bicep or Terraform).

Soft Skills:

• Able to communicate, understand and work with other team members.
• Demonstrated track record of working effectively within a collaborative and cohesive, team-based environment.
• Exceptional analytical, troubleshooting, and problem-solving skills
• Positive, results oriented mindset
• Ability to multi-task effectively and to consistently meet assigned deadlines
• Self-starter with ability to work well independently and in groups
• Ability to speak comfortably in front of a group of customers
• We’re looking for someone who brings confidence and depth to these core technologies and can hit the ground running.

The above statements are intended to describe the general nature and level of work being performed by people assigned to this job. It is not designed to be utilized as a comprehensive list of all duties, responsibilities, and qualifications required of employees assigned to this job.

Working Environment:

This job operates in a professional office environment or remote home office location. This role routinely uses standard office equipment such as computers, phones, photocopiers, filing cabinets and fax machines. Periods of stress may occur.

This role may occasionally encounter Protected Health Information, Personal Identifiable Information or Privacy Records, and it is essential that all employees adhere to confidentiality requirements as outlined in the Employee Handbook and Harris’ Security and Privacy policies, as well as apply the concepts learned in the annual Security Awareness training.