W2 / Open for Transfers _ GenAI / RAG Engineer (Data Engineering Background)

Term: Long Term Consulting position Location: Charlotte , NC, new jersey NJ, Plano, TX, Chicago, Seatle, WA, San Francisco, CA, Kennesaw, GA, Richmond, VA (few more ) Position type: Long term contract / contract-to-hire possible Must be 3x onsite/Week • • • • • H1B Transfer candidates are WELCOME to apply! Green Card, EAD and US Citizens are encouraged to apply. • • • • • About the Role • We are a highly technology-driven platform that has completed a RAG Proof of Concept and is now building a production-grade GenAI platform. • This is not a research role and not a “ChatGPT user” role. • We are looking for engineers who build AI systems, not those who simply use AI tools. • If you have a strong data engineering foundation and have transitioned into GenAI, this role is for you. What You Will Build • A production-ready RAG (Retrieval-Augmented Generation) platform • RAG-as-a-Service APIs that can be reused by multiple applications • AI agents to automate enterprise workflows • Scalable, secure, monitored GenAI services • This is hands-on engineering work — from data ingestion to APIs to production monitoring Required Skills (Must Have) • Core Engineering • Strong Python development (real application code, not scripts) • Experience building API-based services (FastAPI or similar) • Comfortable working in multi-repo codebases using VS Code (not notebook-only) • Data Engineering Foundation • Hands-on experience with Spark / PySpark • Building and maintaining data pipelines • Working with large datasets in production environments GenAI / RAG Engineering • Hands-on experience building RAG systems, not just using tools • Strong understanding of: • Document ingestion & chunking • Embedding generation • Vector databases • Retrieval logic • Prompt construction using retrieved context • Ability to clearly explain RAG architecture end-to-end