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Salary
≈ $92k – $201k per year (Estimated)
Location
Hybrid (Richardson, United States)
Employment
Contractor

First seen by Alion on Oct 19, 2026.

Overview
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Ibotix is an enterprise AI company that helps businesses automate workflows with agentic AI, intelligent automation and scalable AI solutions. It has offices in Bengaluru, Mumbai, the United States and Ras Al Khaimah and is hiring data engineers and machine learning engineers. The company is headquartered in Greater Noida, India.

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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