Job Title: LLM Engineer Dallas, TX (Hybrid - 3 days onsite) Required Skills: • 5+ years of professional experience in developing Machine Learning models and systems. • 2+ years of hands-on expertise with LLMs and Generative AI, focusing on prompt engineering, Retrieval-Augmented Generation (RAG), and AI agents. • Proficiency in programming using Python, LangChain/LangGraph, and SQL (must-have). • Strong understanding of Cloud platforms such as Azure, GCP, or AWS. • Excellent communication skills to collaborate effectively with business SMEs and technical teams. Roles & Responsibilities: • Develop & Optimize LLM-Based Solutions: Lead the design, training, fine-tuning, and deployment of LLMs using advanced techniques such as prompt engineering, RAG, and agent-based architectures. • Codebase Ownership: Write and maintain high-quality, scalable, and efficient code in Python (LangChain/LangGraph) and SQL, ensuring reusability and performance optimization. • Cloud Integration: Support deployment of GenAI applications on Azure, GCP, or AWS, ensuring efficient resource management and robust CI/CD processes. • Cross-Functional Collaboration: Work closely with product owners, data scientists, and business SMEs to translate technical requirements into real-world AI-driven solutions. • Continuous Innovation: Stay updated with the latest advancements in LLM research and Generative AI, exploring emerging techniques to enhance model performance.