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# AI Engineer / Generative AI Engineer / Data Engineer with GenAI

- **Company:** Ibotix Us Inc.
- **Location:** Richardson, TX, United States
- **Experience:** Experienced
- **Contract:** Permanent 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, Databricks, Microservices
- **Published:** October 16, 2026
- **Apply:** https://www.dice.com/job-detail/b4691735-9388-4d81-872d-fab81d654276

## About the Role

MUST HAVE : 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 ChromalB.
 * 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