AI Engineer I

WelbeHealth is seeking an AI Engineer I to contribute to the design, development, testing, and deployment of AI powered solutions for the PACE program. This onsite role in Los Angeles, CA involves building enterprise AI models, retrieval augmented generation systems, and agentic workflows under the guidance of senior engineers. The position offers a yearly salary range of USD 90,281 to 119,171.

Responsibilities

• Assist in developing and validating AI powered applications using enterprise large language models such as OpenAI, Anthropic Claude, and Google Gemini, under senior engineers' guidance.
• Translate PACE program business requirements into early stage AI prototypes and proofs of concept.
• Support prompt engineering, structured output handling, and basic function and tool calling integrations.
• Contribute to the design and testing of retrieval augmented generation systems that ground AI responses in WelbeHealth data.
• Assist with vector database setup, embedding strategies, and chunking optimization under senior direction.
• Help evaluate retrieval quality and document findings.
• 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.
• Support cloud based deployments in Microsoft 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.
• 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 is 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 (for example, Azure AI Fundamentals, AWS Cloud Practitioner, Google ML) are a plus.
• Working proficiency in Python, including writing and debugging scripts, API interactions, and handling common data structures.
• Foundational understanding of AI and ML concepts, including embeddings, vector search, prompt engineering, and retrieval techniques.
• Exposure to large language model platforms and APIs such as OpenAI, Anthropic, or Google Gemini through academic projects, internships, or professional experience.
• Exposure to cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform (GCP) is preferred.
• Familiarity with retrieval augmented generation concepts and vector databases such as Pinecone, Weaviate, Chroma, or similar tools is preferred.
• Exposure to AI orchestration or agentic frameworks such as LangChain, LangGraph, or similar technologies is preferred.
• Experience using version control tools such as Git and familiarity with basic CI/CD concepts and development workflows is preferred.
• Basic understanding of healthcare data privacy and security requirements, including HIPAA and PHI handling practices is preferred.

Technologies

• Python
• OpenAI
• Anthropic Claude
• Google Gemini
• Microsoft Azure
• AWS
• Google Cloud Platform (GCP)
• Docker
• Git
• LangChain
• LangGraph
• Pinecone
• Weaviate
• Chroma

Benefits

• Medical insurance coverage including Medical, Dental, and Vision.
• Strong work life balance with 17 days of personal time off (PTO), 12 observed holidays, and 6 sick days.
• 401(k) savings plan with employer match.
• Comprehensive compensation package including base pay and potential bonus.
• Additional benefits available.