LLM Application Engineer

We are seeking a highly skilled and experienced Senior GenAI Engineer who will be instrumental in designing, developing, and deploying modern generative AI solutions, leveraging expertise in foundation models, agentic AI systems, and full-stack application development. You will work across the entire AI lifecycle, from research and prototyping to production deployment and monitoring, contributing to high-impact transformative projects.

What You’ll Get to Do:

• Build applications leveraging foundation models and advanced GenAI techniques (Agentic RAG, KG-RAG)
• Develop autonomous agents using modern agentic frameworks
• Implement MCP integrations and Python-based full-stack solutions
• Create scalable REST APIs and deploy AI workloads on major clouds
• Apply LLMOps/MLOps best practices for CI/CD and monitoring
• Work across teams, mentor others, and drive innovation in embeddings, knowledge graphs, and ontologies

• Degree in CS, AI/ML, or related field
• Overall 10+ Years experience and 5+ years of AI/ML-focused software engineering
• Production experience with LLMs and agentic systems
• Strong MCP experience (MCP experience means building or integrating AI systems that use the Model Context Protocol to connect LLMs with tools, APIs, and data sources) and expert-level Python
• Experience with embeddings at scale, knowledge graphs, ontology extraction, and advanced RAG
• Full-stack skills (Python back end + modern front end)
• Cloud deployment experience (AWS, Azure, or Google Cloud Platform)
• Experience with LLMOps tools and strong problem-solving/communication skills
• Willingness to work in the Dallas office 5 days/week.