GenAI Senior Engineer

About the role

Design, develop, and deploy scalable Generative AI solutions within an enterprise environment, with a strong focus on AWS cloud enablement.

Requirements

• Experience: 12+ Years
• Minimum 5+ years of experience developing and implementing GenAI applications leveraging: Large Language Models (LLMs), Retrieval-Augmented Generation (RAG) architectures, Prompt engineering techniques, and Agentic AI concepts and workflows
• Minimum 5+ years of experience building intelligent pipelines using frameworks such as LangChain, LangGraph, and Microsoft Foundry Agent Service
• Minimum 5+ years of experience evaluating solution performance, accuracy, and scalability of GenAI implementations
• Minimum 5+ years of experience contributing to the end-to-end GenAI lifecycle, including: Solution design and development, Integration and deployment, and Performance tuning and optimization
• Minimum 5+ years of experience supporting secure deployment, horizontal scaling, and operational stability of GenAI workloads
• Minimum 5+ years of experience assisting in implementing monitoring, logging, and observability practices for production environments
• Minimum 5+ years of experience developing and deploying GenAI systems across cloud platforms (Azure and AWS)
• Minimum 5+ years of experience contributing to distributed system design for scalable AI workloads

Schedule

• Employment Type: C2C

Location

• Charlotte, NC
• Atlanta, GA
• Minneapolis, MN
• Irving, TX
• Chicago, IL
• Cincinnati, OH