AI Software Engineer – GenAI, RAG, Azure AI Foundry

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The Phia Group, LLC

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2000

⚕️ Healthcare Insurance

📋 Compliance

💳 Fintech

💰 Private Equity Round on 2018-09

Healthcare Insurance • Compliance • Fintech

The Phia Group, LLC is a dedicated provider of healthcare cost containment solutions, focusing on empowering self-funded health plans to maximize benefits and minimize costs. Through a comprehensive suite of services, including subrogation and recovery, claims negotiation, and cost transparency initiatives, The Phia Group aims to help employers and families navigate the complexities of healthcare with advocacy and expertise. Their commitment to improving healthcare accessibility and affordability sets them apart in the industry.

📋 Description

• 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 • Architect and deploy AI solutions using Azure AI Foundry / Azure OpenAI / Azure ML • Manage scalable deployments using Azure Kubernetes Service (AKS), Docker, and Helm • Implement semantic search and vector indexing using tools like Qdrant or Azure Cognitive Search • Build model-agnostic AI routing layers • Build and maintain full-stack applications integrating AI services • Use AI tools for code generation, refactoring, debugging, and optimization • Build and maintain CI/CD pipelines (Azure DevOps) for AI applications

🎯 Requirements

• Bachelors degree in Computer Science, IT, or related field + relevant experience • Strong experience with: Python (FastAPI preferred) • Modern backend or full-stack frameworks • Hands-on experience with: RAG architecture, embeddings, and vector databases • LLMs (GPT, Claude, or similar) • Experience deploying applications on Azure (AKS, Azure AI services) • Familiarity with Docker, Kubernetes, and cloud-native architectures • Experience with MS SQL, Azure storage, Azure App services, APIM

🏖️ Benefits

• unparalleled benefits for yourself • opportunities for professional development