AI Engineer I

The AI Engineer I position is based onsite in Los Angeles, CA and supports the design, development, testing, and deployment of AI driven solutions for the PACE program. The role covers enterprise AI models, retrieval augmented generation systems, and agentic workflows, all conducted under the guidance of senior engineers.

Responsibilities

• Contribute to building and validating AI powered applications that leverage enterprise LLMs such as OpenAI, Anthropic Claude, and Google Gemini, under senior engineer supervision.
• Translate PACE program business requirements into early stage AI prototypes and proofs of concept.
• Support prompt engineering, structured output handling, and basic function or tool calling integrations.
• Develop and test retrieval augmented generation systems to ground AI responses in WelbeHealth proprietary data.
• Assist with vector database setup, embedding strategies, and chunking optimization under senior direction.
• Evaluate retrieval quality and document findings to support iterative improvements.
• Participate in rapid POC development cycles, contributing code, documentation, and incremental enhancements.
• Assist in validation and QA testing of new AI use cases.
• Actively seek feedback, pose questions, and apply learnings to raise output quality.
• Support cloud based deployments in Azure environments with guidance on Docker, private endpoints, and secure configurations.
• Adhere to best practices for AI/ML operations, including monitoring, versioning, and CI/CD pipelines.
• Maintain documentation for AI services and infrastructure.
• Stay informed 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 advantageous.
• 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, personal projects, or professional experience.
• Experience with cloud platforms such as Microsoft Azure, AWS, or Google Cloud Platform 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 or LangGraph is preferred.
• Experience using version control tools like 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
• Docker
• Git
• LangChain
• LangGraph
• Pinecone
• Weaviate
• Chroma

Benefits

• Medical insurance coverage (Medical, Dental, Vision)
• Work-life balance with 17 days of personal time off, 12 holidays observed annually, and 6 sick days
• 401K savings with company match
• Competitive compensation package including base pay and bonus
• Additional benefits available