PLEASE NOTE: It is a 100% Onsite position in Dallas, TX. Local Candidates preffered. KEY REQUIRED SKILLS: Focus on building AI-driven solutions using Python, including LLMs, embeddings, knowledge graphs, and RAG architectures. Cortex AI, depth or experience in GraphRAG, Knowledge Graphs, and Agentic System Design. Eligible Hacker Rank assessment. JOB DESCRIPTION: Build GenAI applications leveraging foundation models and advanced architectures such as GraphRAG. Develop autonomous AI agents using modern agentic frameworks. Design and deploy RAG and GenAI services using Python (FastAPI), Docker, and cloud platforms (AWS, Azure, or GCP). Build scalable REST APIs that power LLM-driven applications integrated with enterprise data sources. Implement LLM evaluation frameworks using tools such as Ragas, LangSmith, or custom benchmarks to measure answer relevance, groundedness, and hallucination rates. Apply LLMOps/MLOps practices, including CI/CD pipelines, prompt/version management, automated ...