AI Engineer

Header:
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 our 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 an AI Engineer who already has solid development experience and wants to grow into AI engineering. You will build real AI features in production, learn from our AI Solutions Engineer and Senior AI Engineer, and have a clear path to a senior role within 12 to 18 months.
Primary Functions:
• 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 our 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.
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:
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, 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.
Additional Qualifications:
Experience with Azure, containers and cloud services.
Experience with RAG and vector databases.
Prior work in healthcare or another regulated industry.
Soft Skills:
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.
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.