> Markdown version of [/jobs/ext/3844926-ai-data-engineer](https://www.wearedevelopers.com/jobs/ext/3844926-ai-data-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).

---

# AI/Data Engineer

- **Company:** Ibotix Us Inc.
- **Location:** Richardson, TX, United States
- **Experience:** Experienced
- **Contract:** Contract
- **Skills:** Agile Methodology, Artificial Intelligence, Amazon Web Services, Software Applications, Microsoft Azure, Information Engineering, Software Design Documents, Python (Programming Language), Machine Learning, OpenAI, SQL Databases, Enterprise Search, Pinecone, Google Cloud, Retrieval-Augmented Generation, Large Language Models, Prompt Engineering, Apache Spark, Generative AI, Agentic-AI, Build Management, Pyspark, CrewAI, Weaviate, AutoGen, Milvus, Claude, Evaluation of Large Language Models, Restful APIs, ChromaDB, Databricks, Microservices
- **Published:** October 20, 2026
- **Apply:** https://www.dice.com/job-detail/0ecc859a-2967-413a-945a-9e787ca6076f

## About the Role

"Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), AI Agents, Vector Databases, and Prompt Engineering Experience: 4-6 years in Data Engineering and AI solutions.
Strong expertise in Python, SQL, PySpark, Databricks/Spark.
Hands-on experience with Large Language Models (LLMs) such as OpenAI, Azure OpenAl, Claude, or Llama.
Build and deploy Retrieval-Augmented Generation (RAG) applications.
Develop AI Agents using LangChain, LangGcapb, CrewAI, or AutoGen frameworks.
Work with Vector Databases such as Pinecone, Odcant, Weaviate, Milvus, or ChromaDB.
Experience in Prompt Engineering, prompt optimization, and LLM orchestration.
Design document ingestion, embeddings, retrieval, and knowledge search solutions.
Develop scalable APIs and microservices for AI-powered applications.
Implement LLM evaluation, monitoring, guardrails, and responsible AI practices.
Experience with cloud platforms (Azure preferred, AWS/Google Cloud Platform acceptable).
Familiarity with Azure AI Search, Azure OpenAl, and enterprise Al frameworks.
Healthcare domain experience (Claims, Membership, Provider, Clinical) is preferred.
Strong analytical, communication, and stakeholder management skills.
Ability to work in an Agile environment and deliver enterprise-grade GenAl solutions. Based on internal AI/ML engineering role requirements emphasizing RAG pipelines, AI agents, vector databases, prompt engineering, and Python development