AI Engineer designing and building frameworks for dynamic interactions with public health data. Collaborating with teams to ensure compliance and optimize performance in AI systems.
Responsibilities
Design and build robust knowledge frameworks enabling AI systems to interact with public health data
Leverage knowledge of data modeling for AI agents, Memory and State Management, RAG Pipeline Design
Lead performance optimization of retrieval processes for public health use cases
Define data quality and curation standards
Collaborate with AI teams and maintain documentation of data architecture
Ensure compliance with data privacy standards and ethical guidelines
Requirements
2+ years of experience in Generative AI, including work with Large Language Models
Experience with Python programming language and with the deployment and integration of AI solutions on a major cloud service provider
Experience in document processing workflows, including ingestion and transformation of formats such as PDF, Word, and HTML
Development of vector databases for semantic search and retrieval
Experience designing and implementing Retrieval-Augmented Generation (RAG) architectures for production environments
Experience working with AI-assisted coding tools
Knowledge of containerization and orchestration technologies, including Docker or Kubernetes
Implementation of CI / CD pipelines for AI and ML workflows
Knowledge of one Agentic AI framework
Ability to meaningfully review, 'sniff-check,' and debug AI-generated code for security and correctness
Ability to obtain and maintain a Public Trust or Suitability/Fitness determination based on client requirements
Bachelor's degree
Benefits
Health, life, disability, financial, and retirement benefits
Paid leave
Professional development
Tuition assistance
Work-life programs
Dependent care
Recognition awards program for exceptional performance
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