AI Engineer I

About the role

At WelbeHealth, we serve our communities’ most vulnerable seniors through shared intention, pioneering spirit, and the courage to love. The AI Engineer I supports the design, development, testing, and implementation of AI-powered solutions that address operational and participant care challenges within the PACE (Program of All-Inclusive Care for the Elderly) program. Working under the guidance of senior engineers, the role assists with developing and maintaining enterprise AI models, retrieval-augmented generation (RAG) systems, and agentic workflows. The AI Engineer I collaborates effectively with colleagues and stakeholders to promote WelbeHealth values, team culture, and mission.

This role is different because the AI Engineer I at WelbeHealth helps build innovative AI-powered solutions that improve participant care and operational efficiency by developing enterprise applications using large language models (LLMs), retrieval-augmented generation (RAG), and emerging agentic AI technologies in a mission-driven healthcare environment. You will work alongside experienced AI engineers and architects to rapidly prototype, test, and deploy modern AI solutions while gaining hands-on experience with cloud platforms, enterprise AI frameworks, and responsible AI practices that directly support the future of healthcare delivery.

Responsibilities

• AI Application Support & Development
  • Assist in building and testing AI-powered applications using enterprise LLMs (OpenAI, Anthropic Claude, Google Gemini) under the guidance of senior engineers.
  • Help translate PACE program business requirements into early-stage AI prototypes and proofs of concept.
  • Support prompt engineering, structured output handling, and basic function/tool calling integrations.
• RAG Pipeline Support
  • Contribute to the development and testing of retrieval-augmented generation (RAG) systems that ground AI responses in WelbeHealth’s proprietary data.
  • Assist with vector database setup, embedding strategies, and chunking optimization under senior direction.
  • Help evaluate retrieval quality and document findings.
• Prototyping & Learning
  • Participate in rapid POC development cycles, contributing code, documentation, and iterative improvements.
  • Assist in validation and QA testing of new AI use cases.
  • Actively seek feedback, ask questions, and apply learnings to improve output quality.
• Cloud & Infrastructure Basics
  • Support cloud-based deployments in Azure environments with guidance on Docker, private endpoints, and secure configurations.
  • Learn and follow best practices for AI/ML operations, including monitoring, versioning, and CI/CD pipelines.
  • Assist in maintaining documentation for AI services and infrastructure.
• Technology Awareness
  • Stay curious about emerging AI tools, model releases, and techniques.
  • Share relevant findings with the team and help evaluate new approaches that could benefit participants and operations.
  • Participate in team demos, retrospectives, and knowledge-sharing sessions.

Requirements

• Bachelor’s Degree in Computer Science, Data Science, Software Engineering, or a related field required; relevant coursework or bootcamp training is a plus.
• Coursework or self-directed study in machine learning, natural language processing, or AI application development is a plus.
• Relevant certifications (e.g., Azure AI Fundamentals, AWS Cloud Practitioner, Google ML) are a plus.
• Working proficiency in Python, including the ability to write and debug scripts, interact with APIs, and work with common data structures.
• Foundational understanding of artificial intelligence and machine learning concepts, including embeddings, vector search, prompt engineering, and retrieval techniques.
• Exposure to large language model (LLM) platforms and APIs such as OpenAI, Anthropic, or Google Gemini through academic projects, internships, personal projects, or professional experience.
• Exposure to cloud platforms such as Microsoft Azure, Amazon Web Services (AWS), or Google Cloud Platform (GCP) preferred.
• Familiarity with retrieval-augmented generation (RAG) concepts and vector databases such as Pinecone, Weaviate, Chroma, or similar tools preferred.
• Exposure to AI orchestration or agentic frameworks such as LangChain, LangGraph, or similar technologies preferred.
• Experience using version control tools such as Git and familiarity with basic CI/CD concepts and development workflows preferred.
• Basic understanding of healthcare data privacy and security requirements, including HIPAA and protected health information (PHI) handling practices preferred.

We are seeking an AI Engineer I who is passionate about applying artificial intelligence to solve meaningful healthcare challenges. The ideal candidate is eager to learn, enjoys experimenting with emerging AI technologies, and has a strong foundation in Python, cloud technologies, and modern AI concepts such as large language models, prompt engineering, and retrieval-augmented generation.

Benefits

• Medical, dental, and vision insurance coverage.
• 17 days of personal time off (PTO), 12 holidays observed annually, and 6 sick days.
• 401K savings with company match.
• Comprehensive compensation package including base pay and bonus.

Pay

Compensation consists of base salary plus bonus. Actual compensation will be determined based on experience and relevant qualifications. Compensation offering: $90,281.44—$119,171.49 USD.