Gainwell Technologies
Healthcare Insurance • Human Services • Healthcare
Gainwell Technologies is the nation’s leading provider of digital and cloud-enabled solutions across the human services and public health ecosystem. With a mission-driven approach, Gainwell serves clients in all 50 U. S. states, focusing on improving health outcomes and delivering intuitive, human-centered experiences. Their comprehensive suite of solutions includes Medicaid Enterprise modernization, data analytics, provider services, and pharmacy solutions, all designed to advance the future of healthcare and enhance community well-being.
Gen AI Engineer – RAG Systems
November 13
Gainwell Technologies
Healthcare Insurance • Human Services • Healthcare
Gainwell Technologies is the nation’s leading provider of digital and cloud-enabled solutions across the human services and public health ecosystem. With a mission-driven approach, Gainwell serves clients in all 50 U. S. states, focusing on improving health outcomes and delivering intuitive, human-centered experiences. Their comprehensive suite of solutions includes Medicaid Enterprise modernization, data analytics, provider services, and pharmacy solutions, all designed to advance the future of healthcare and enhance community well-being.
📋 Description
• Enable the workforce to adopt an AI first strategy by leveraging AI code assistance tools • Architect and implement scalable RAG systems using Python and modern GenAI tools • Build custom pipelines for document ingestion, chunking strategies, and embedding generation • Evaluate and implement different embedding models (OpenAI, Azure OpenAI, Cohere, etc.) and chunking strategies (fixed-size, semantic-aware, overlap-based) • Create and optimize indexing strategies (vector, hybrid, keyword-based, hierarchical) for performance and accuracy • Work with Azure AI Services , particularly Azure Cognitive Search and OpenAI integration, to deploy end-to-end AI applications • Collaborate closely with cross-functional teams including data engineers, product managers, and domain experts • Conduct AI enablement sessions , workshops, and hands-on labs to upskill internal teams on GenAI usage and best practices • Participate in code reviews, contribute to best practices, and ensure the reliability, scalability, and maintainability of AI systems
🎯 Requirements
• 2+ years of experience in software engineering • Proven track record of building and deploying RAG-based GenAI solutions • Hands-on experience with LlamaIndex , LangChain , or equivalent frameworks • Familiarity with prompt engineering, prompt tuning, and managing custom Copilot extensions • Strong understanding of LLMs , vector databases (like FAISS, Pinecone, Azure Cognitive Search), and embedding techniques • Solid knowledge of Azure AI , cloud deployment, and enterprise integration strategies. • Proficiency with version control and collaborative development using GitHub
🏖️ Benefits
• Health insurance • 401(k) matching • Flexible work hours • Paid time off • Professional development opportunities
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