[Hiring] AI Engineer @WelbeHealth

Role Description

The AI Engineer is accountable for building, testing, and deploying AI-powered solutions that address real-world healthcare challenges within our PACE (Program of All-Inclusive Care for the Elderly) program. This role will leverage enterprise AI models to create intelligent applications such as:

• Participant context engines
• Retrieval augmented generation (RAG) pipelines
• Agentic workflows

The AI Engineer will stay current with the rapidly evolving AI landscape and translate emerging capabilities into production-ready solutions for our business.

This role is different because the AI Engineer at WelbeHealth:

• Builds AI solutions that solve real-world healthcare challenges, providing the opportunity to take AI use cases from rapid prototyping to production.
• Works at the intersection of applied AI, healthcare, and secure cloud technology, with the opportunity to experiment with emerging LLMs, agentic frameworks, and multi-model architectures.

Qualifications

• Bachelor’s degree in computer science, AI, computer engineering, or other relevant field; master’s degree preferred.
• Minimum of three (3) years of hands-on experience in AI/ML engineering, applied AI development, or software engineering with a strong AI focus.
• Demonstrated experience designing and deploying RAG pipelines, including vector databases, embedding strategies, chunking optimization, and retrieval evaluation.
• Proven ability to build applications on top of commercial LLM APIs (OpenAI, Anthropic, Google) including prompt engineering, structured output handling, function/tool calling, and context window management.
• Advanced proficiency in Python for AI application development, API integration, and data pipeline construction.
• Hands-on experience with Azure AI services and Docker-based deployments in secure cloud environments.
• Proficiency with Azure DevOps (or equivalent) for building CI/CD pipelines that automate testing and deployment of AI applications.
• Solid understanding of agentic architectures and frameworks such as LangChain, LangGraph, Semantic Kernel, or Copilot Studio.
• Experience working in Agile/Scrum environments with iterative development cycles and rapid POC delivery.
• Familiarity with HIPAA, PHI handling, and the compliance requirements unique to healthcare technology is preferred.
• Understanding of the PACE model of care and how technology can improve participant outcomes and operational workflows preferred.
• Experience benchmarking and comparing LLM providers across dimensions such as accuracy, cost, latency, and safety preferred.
• Secondary cloud experience with AWS AI/ML services is a plus.

Requirements

• Design, build, and deploy AI-powered applications using enterprise LLMs (OpenAI, Anthropic Claude, Google Gemini).
• Architect and implement RAG systems that ground AI responses in WelbeHealth's proprietary data, ensuring accuracy, relevance, and compliance with healthcare data standards.
• Own the full development lifecycle for new AI use cases from ideation and rapid POC development through validation, iteration, and production deployment.
• Research and build agentic AI workflows (using frameworks such as LangGraph, LangChain, or Copilot Studio).
• Architect and deploy AI services within private cloud environments (primarily Azure; AWS as needed).
• Evaluate and integrate across the frontier model landscape, selecting the right model for each use case based on performance, cost, latency, and compliance requirements.
• Implement AIOps and MLOps best practices monitoring, versioning, automated testing, and CI/CD pipelines.
• Continuously evaluate emerging AI tools, techniques, and model releases, as well as proactively recommend new approaches that can improve participant outcomes, operational efficiency, or developer productivity.

Benefits

• Medical insurance coverage (Medical, Dental, Vision).
• Work/life balance - 17 days of personal time off (PTO), 12 holidays observed annually, and 6 sick days.
• 401K savings + match.
• Comprehensive compensation package including base pay and bonus.
• And additional benefits!