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# AI/RAG Engineer - "Full-stack GenAI application engineer

- **Company:** LINCOLN SOFT TECH LLC
- **Location:** Dallas, TX, United States
- **Experience:** Starter
- **Contract:** Permanent contract
- **Skills:** Application Layers, Automated Storage and Retrieval Systems, MongoDB, Redis, Search Technologies, ReactJS, Large Language Models, Backend, Fastapi, AngularJS, Front End Software Development, Api Gateway, Data Pipelines
- **Published:** September 17, 2026
- **Apply:** https://www.dice.com/job-detail/fe10b464-087b-4bf8-a7c6-2212187b414e

## About the Role

* Hands-on with the full RAG pipeline: chunking strategy, embedding model selection, retrieval tuning, reranking, summarization - able to speak to trade-offs at each stage
 * Application layer strength: FastAPI, JWT/auth, API Gateway patterns, plus MongoDB/Redis and ideally some Angular/React exposure
 * Semantic search and data pipeline experience is called out specifically here - so someone who's built search/retrieval systems (even pre-LLM) transfers well
 * This is the most "well-rounded builder" of the three - backend + data pipeline + some frontend awareness
 * Good fit: a product-minded backend engineer who's spent the last 1-2 years specifically in applied GenAI/RAG, ideally in a team shipping to real users rather than research/prototyping.



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