AI Software Engineer (GenAI/RAG/Azure AI Foundry)
Company: The Phia Group
Location: Remote (Remote)
Type: Full-time
Remote: Yes
Posted: 2026-04-06
About this role
The Phia Group is a service- oriented organization assisting employee health plans nationwide. We provide our clients with innovative cost-cutting solutions and constantly expanding service offerings. We continue to enjoy growth thanks to our most valuable resource – our talented and committed team.
At The Phia Group, whose mission is to provide high quality yet affordable healthcare to American employees and their families, you can look forward to not only unparalleled benefits for yourself but also being immersed in a company that was named one of USA Today’s Top Workplaces for 2025. Meanwhile, from a regional perspective, both The Boston Globe and Louisville Business First also recognized our unwavering commitment to upholding an internal culture of inclusivity, enjoyment, and empathy for our valued employees by listing The Phia Group in their respective lists for the Top Places to Work in 2025.
About the Role
We are seeking a forward-thinking AI Software Engineer to design, build, and scale intelligent applications powered by modern AI technologies. This role goes beyond traditional software engineering — focusing on Generative AI, Retrieval-Augmented Generation (RAG), and AI-assisted development using tools like Claude, GPT, and other LLM platforms.
You will play a key role in shaping our AI roadmap by building production-grade AI systems, optimizing developer productivity with AI tools, and integrating intelligent workflows into our healthcare platforms.
Key Responsibilities
AI Engineering & GenAI Development
- Design and implement RAG (Retrieval-Augmented Generation) pipelines using modern vector databases and embeddings.
- Build and optimize LLM-powered applications (chatbots, copilots, automation agents).
- Leverage tools like Claude, GPT, and AI coding assistants to accelerate development and improve code quality.
- Develop agentic AI workflows using frameworks that enable reasoning, tool usage, and multi-step decision-making.
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