We are seeking a highly skilled and forward-thinking GenAI Engineer to join our AI innovation team. This role is ideal for someone with deep technical expertise in Generative AI, a strong foundation in Python programming, and a passion for driving enterprise AI transformation
You will be instrumental in designing, developing, and deploying advanced Retrieval-Augmented Generation (RAG) systems You’ll also play a pivotal role in enabling our internal workforce to embrace and adopt AI technologies.
Architect and implement scalable RAG systems using Python and modern GenAI tools.
Build custom pipelines for document ingestion, chunking strategies, and embedding generation. Working knowledge in LlamaIndex is preferable.
Have a deep knowledge in using AI augmented tools like GitHub Copilot. Experience in developing custom extensions
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.
5+ years of experience in software engineering, with strong expertise in Python
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 techniquesSolid knowledge of Azure AI, cloud deployment, and enterprise integration strategies.
Proficiency with version control and collaborative development using GitHub
Experience with transformer models, fine-tuning, and inference optimization.
Working knowledge of MS Azure
Contributions to open-source GenAI projects or technical blogs.
Previous experience in training or mentoring teams on AI adoption.
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. Working knowledge in LlamaIndex is preferable.
Have a deep knowledge in using AI augmented tools like GitHub Copilot. Experience in developing custom extensions
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.
For 50 years, our nation’s federal Medicaid program has worked to improve the health, safety and well-being of America’s most vulnerable populations: low-income families, women and children, seniors, and those with disabilities. With positive health and cost outcomes that pierce inequities and impact economies, the success of these programs is inextricably tied to the prosperity of communities, individual states and the nation as a whole. We think that demands respect and, more importantly, is deserving of a lifetime commitment from innovators who can help those who operate within and around health and human services evolve — in any market at any stage. At Gainwell Technologies, that’s our sole focus.
Built across more than five decades, Gainwell has intentionally seized opportunities to advance its digitally enabled services to meet agencies, health plans and MCOs where they are on their modernization journeys and propel them into the future of public health. Our commitment to innovation, deep experience and ability to leverage insights from customers across 50 states has allowed us to expand on next-generation, cloud-enabled technologies.
Today, Gainwell offers one of the most comprehensive suites of scalable services and solutions on the market — all proven to deliver cost savings, better patient outcomes and an improved provider experience. Equally important to our expanding technologies and results: We bring ideas that bring policies to life.
