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AI/Data Engineer

IBOTIX US Inc.Richardson, TX🇺🇸United States

Why this role stands out

Accelerate your career at the forefront of innovation with IBOTIX US Inc., where you will build cutting-edge Generative AI solutions and RAG pipelines in a flexible hybrid environment. This role is perfect for a forward-thinking engineer eager to master LLM orchestration and agentic frameworks while making a tangible impact on enterprise-grade AI technology. Apply today to join this dynamic team and elevate your expertise in one of the industry's most exciting fields.

Quick overview

SeniorityMid Senior
Work modeOn Site
LocationRichardson, TX, United States
MicroservicesSQLAWSAgileAzureDatabricksGoogle CloudLLMPythonStakeholder Management

Job description

Job Title: AI/Data Engineer

Work Location: Richardson, TX :: Raleigh, NC :: Indianapolis, IN (Hybrid 2 3 Days Onsite)

Long Term Contract

If you find this opportunity suitable, kindly share your updated resume. Also, please let me know a good time to connect with you for a quick discussion.

Looking forward to hearing from you!

Job Description


"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

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