> Markdown version of [/jobs/ext/4244141-senior-ai-engineer](https://www.wearedevelopers.com/jobs/ext/4244141-senior-ai-engineer). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior AI Engineer - **Company:** CogniSoft Technologies - **Location:** Lafayette, LA, United States - **Experience:** Expert - **Contract:** Contract - **Skills:** LangGraph Framework, Artificial Intelligence, Computer Programming, Information Engineering, Graph Database, Information Retrieval, Natural Language Processing, Neo4j, Search Technologies, Software Engineering, Systems Integration, Cloud Platform System, LangChain, Retrieval-Augmented Generation, Large Language Models, Llamaindex, Generative AI, Information Technology, Graph RAG, Vectorization - **Published:** October 16, 2026 - **Apply:** https://www.dice.com/job-detail/e8eec314-d773-47a6-82ca-b2484513c2c6 ## About the Role * We are seeking a highly skilled Senior AI Engineer with strong hands-on experience in Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Vectorization, Vector Databases, Knowledge Graphs, and AI-powered application development. * Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data Science, Engineering, or related field. * 8+ years of software engineering, data engineering, or AI/ML experience. * Strong hands-on experience developing Generative AI and LLM-based applications. * Proven experience implementing end-to-end RAG pipelines. * Strong experience with vectorization, text embeddings, semantic search, and vector databases. * Hands-on experience developing Knowledge Graphs and Graph RAG solutions. * Advanced Python programming skills. * Experience with LangChain, LlamaIndex, LangGraph, or equivalent LLM orchestration frameworks. * Experience with Neo4j or another graph database. * Experience integrating LLMs with enterprise data sources. * Experience deploying AI solutions in cloud environments. * Strong understanding of NLP, transformers, embedding models, and information retrieval techniques. * Excellent problem-solving, communication, and technical documentation skills.