Full Stack GenAI Engineer (Azure OpenAI | LLM | RAG | AI Agents)

ICONMA, LLC

  • Dallas, TX
  • 8 days ago
  • $50 Per Hour

Highlights

Requirements: Preferred Candidate Profile : Strong hands-on experience delivering production-grade GenAI solutions using Azure OpenAI, AI Search, Agentic AI frameworks, and modern full-stack technologies. Our client, a IT Services and Consulting company, is looking for a Full Stack GenAI Engineer (Azure OpenAI | LLM | RAG | AI Agents) for their Dallas, TX location.

Numbers & Facts

LocationDallas, TX
Salary$50 Per Hour

Description

Our client, a IT Services and Consulting company, is looking for a Full Stack GenAI Engineer (Azure OpenAI | LLM | RAG | AI Agents) for their Dallas, TX location.
 
Responsibilities:

  • Design and develop GenAI applications using LLMs and RAG architectures
  • Build AI Agents and workflow orchestration solutions
  • Develop scalable front-end and backend applications
  • Implement semantic search, vector databases, and enterprise AI integrations
  • Build AI solutions for transcript analysis, fraud detection, call classification, and automation
 
Requirements:
  • Preferred Candidate Profile: Strong hands-on experience delivering production-grade GenAI solutions using Azure OpenAI, AI Search, Agentic AI frameworks, and modern full-stack technologies.
  • Required Skills
  • Generative AI: LLMs, RAG, Prompt Engineering, AI Agents, LangChain, LangGraph, Semantic Kernel
  • Vector Databases: Pinecone, Azure AI Search, Weaviate, Milvus, Qdrant, Chroma, FAISS
  • Frontend: React, Angular, TypeScript, JavaScript, HTML5, CSS3
  • Backend: Python, Node.js, Java, REST APIs, Microservices
  • Data & Cloud: MongoDB, ETL, Azure Data Services, Azure AI Search
  • Strong understanding of NLP, Semantic Search, Embeddings, Enterprise Automation, Database Design, Performance, Scalability, and Security
  • Experience building multilingual AI and transcript/call analytics solutions is preferred
  • Years of Experience:   Minimum 8 Years of Experience
 
Why Should You Apply?

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