Job Description Insight Global is currently looking for a Senior LLM Engineer for one of our large oil and gas production clients in Downtown Houston, TX. This person will be responsible for building LLM applications with strong NLB foundations, extracting entities and relationships to populate Neo4j knowledge graphs, creating retrievals systems that blend semantic search with graph traversal, and designing LLM and graph reasoning pipelines. The ideal candidate for this position will have extensive experience working with LLM, a strong NLP background, hand-on Neo4j and Cypher experience, python expertise, and strong problem solving skills. This position is 5 days a week onsite in Downtown Houston, and the pay ranges from $67-72/hr. We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to HR@insightglobal.com.To learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/. Skills and Requirements 3+ years of large language modeling experience 5+ years of python experience Strong problem solving skills and critical thinking Ability to understand what needs to be done and take initiative Hands-on Neo4j and Cypher Experience Oil and Gas background