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AI Engineer

AI Engineer Full-time Permanent Costa Rica

Job details

Not specified Salary
Costa Rica Eligibility
Senior Experience
Full-time Employment

About this role

Role overview Build production AI features for clinical and revenue cycle workflows as part of a small engineering team. The role suits an experienced software developer growing into AI engineering: you’ll learn from senior teammates, own features, and develop toward a senior-level role over an expected 12 to 18 months.

Responsibilities - Build AI agents and workflows with tool use and state management using LangChain, LangGraph, or similar frameworks. - Create Model Context Protocol tools and servers that connect agents to healthcare data and services. - Implement features for model and API gateways, including routing, authentication, rate limits, and logging. - Add tracing and evaluations to AI pipelines using tools such as OpenTelemetry and Langfuse. - Write and review tested production code in Python, C#, and TypeScript. - Work with healthcare data, including interoperability and claims information, while following privacy requirements; pair with senior engineers and take ownership of features.

Requirements - At least two years of software development experience, including Python, C#/.NET, and REST API development and support. - Experience with Git and CI/CD tools, plus at least one year of front-end TypeScript experience. - At least one year building an LLM application or project involving prompts and tool use. - At least one year of exposure to agent frameworks, MCP, or LLM observability tools through work or personal projects. - Interest in healthcare and willingness to learn relevant privacy and interoperability standards. - Clear written and verbal communication, sound troubleshooting skills, and ability to work both independently and with a team.

Nice to have - Experience with Azure, containers, cloud services, retrieval-augmented generation, or vector databases. - Background in healthcare or another regulated industry.

Benefits and work setup The position can be based in an office or a remote home office. Work may involve protected health or personal information, which must be handled confidentially.

Skills detected in the listing

TypeScriptPythonC#AzureLLM
Detected Oct 15, 2026
Last verified Not yet verified

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