AI Engineer / Generative AI Engineer / Data Engineer with GenAI
Ibotix Us Inc.
Richardson, TX, United States
5 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Experienced
Experience required
4 years minimum
Working hours
Regular working hours
Job source
Tech stack
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
+19 more
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
Requirements
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
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