Sr AI & Software Engineer

Job Description

Lead the design, development, and deployment of production-grade generative AI systems, including RAG architectures, agentic workflows, grounding pipelines, and vector store infrastructure. Build and integrate secure full-stack applications, guide engineering teams, and communicate technical decisions to healthcare and business stakeholders.

Requirements: Requires 8+ years of software engineering experience, enterprise-scale generative AI delivery, production RAG and vector store expertise, and hands-on experience with a major cloud AI platform. Candidates must be local to Nashville and available to work on-site, with full-stack, cloud-native, agentic workflow, CI/CD, and stakeholder communication experience.

Key Skills: Generative AI, Retrieval-Augmented Generation (RAG), GCP Vertex AI, Google Gemini, AWS Bedrock, Azure OpenAI, Vector Stores, Embedding Pipelines, Agentic AI, LangChain, LangGraph, Model Context Protocol (MCP), Python, Docker and Kubernetes, CI/CD, Healthcare Systems Integration

Benefits: Competitive Contract Compensation, Path to Full-Time Placement