> Markdown version of [/jobs/ext/288447-aws-data-engineer-dallas-tx-raleigh-nc-tampa-fl-minneapolis-mn](https://www.wearedevelopers.com/jobs/ext/288447-aws-data-engineer-dallas-tx-raleigh-nc-tampa-fl-minneapolis-mn). 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). --- # AWS Data Engineer - Dallas, TX / Raleigh, NC/Tampa, FL/Minneapolis, MN - **Company:** TechniPros, LLC - **Location:** Dallas, TX, United States (Remote available) - **Experience:** Expert - **Salary:** $104,000.0 - $120,640.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Software Applications, Graph Database, Python (Programming Language), Cloud Platform System, Retrieval-Augmented Generation, Flask (Web Framework), Large Language Models, Generative AI, Fastapi, AWS Data Analytics, Virtual Agents - **Published:** May 26, 2026 - **Apply:** https://www.careerjet.com/jobad/use76976c4a6e7070d80ea0bddb65dd2b1 ## About the Role * Python * Generative AI (GenAI) * Large Language Models (LLMs) * RAG / GraphRAG * Agentic AI * Vector Databases * Embeddings * Knowledge Graphs * LangChain / LlamaIndex * FastAPI / Flask ## Description * We are seeking a highly skilled Senior AI/ML Engineer with deep expertise in Generative AI, GraphRAG, and Agentic AI systems. The ideal candidate will have strong experience designing and deploying enterprise-grade AI solutions using Large Language Models (LLMs), knowledge graphs, vector databases, and modern AI orchestration frameworks. * This role involves building scalable AI platforms, intelligent agents, retrieval-augmented generation systems, and end-to-end AI-powered applications in cloud environments. ## Related Videos - [Accelerating GenAI Development: Harnessing Astra DB Vector Store and Langflow for LLM-Powered Apps](https://www.wearedevelopers.com/videos/966-accelerating-genai-development-harnessing-astra-db-vector-store-and-langflow-for-llm-powered-apps) - [Putting the Graph In GraphQL With The Neo4j GraphQL Library](https://www.wearedevelopers.com/videos/257-putting-the-graph-in-graphql-with-the-neo4j-graphql-library) - [Intro to FastAPI](https://www.wearedevelopers.com/videos/462-intro-to-fastapi) - [Your imaginations is (no longer) the limit: how Generative AI empowers people to be creative](https://www.wearedevelopers.com/videos/741-your-imaginations-is-no-longer-the-limit-how-generative-ai-empowers-people-to-be-creative) - [Graphs and RAGs Everywhere... But What Are They? - Andreas Kollegger - Neo4j](https://www.wearedevelopers.com/videos/1311-graphs-and-rags-everywhere-but-what-are-they-andreas-kollegger-neo4j) - [Supercharge your cloud-native applications with Generative AI](https://www.wearedevelopers.com/videos/950-supercharge-your-cloud-native-applications-with-generative-ai) ## Related Articles - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Dev Digest 132 - Binging WADFlix?](https://www.wearedevelopers.com/magazine/473-dev-digest-132-binging-wadflix) - [Dev Digest 121 - AI goes offline](https://www.wearedevelopers.com/magazine/456-dev-digest-121-ai-goes-offline) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [From Prototype to Production: Build AI Agents with This Free 4-Course Learning Path](https://www.wearedevelopers.com/magazine/655-from-prototype-to-production-build-ai-agents-with-this-free-4-course-learning-path)