Sr AI & Software Engineer

Job Description

Lead the design and production deployment of enterprise Generative AI systems, including RAG architectures, agentic workflows, grounding pipelines, vector stores, evaluation, and safety controls. Build and integrate full-stack cloud applications and data pipelines, while providing technical leadership, mentoring, and clear communication with healthcare and business stakeholders.

Requirements: Requires 8+ years of software engineering experience, production-scale Generative AI delivery, hands-on expertise with an enterprise AI cloud platform, and deep experience with RAG, vector stores, embedding pipelines, and agentic workflows. Candidates must be local to Nashville and available on-site, with full-stack and cloud-native development experience, CI/CD knowledge, enterprise integrations, and strong stakeholder communication skills.

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, Python, Java, C#, Docker and Kubernetes, CI/CD

Benefits: Contract-to-Hire Opportunity, Path to Full-Time Placement