Agentic AI Engineer

Dallas, TX, US • Posted 1 hour ago • Updated 1 hour ago
Contract Independent
Contract W2
12 Months
No Travel Required
On-site
Depends on Experience
Fitment

Dice Job Match Score™

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Job Details

Skills

  • Amazon Web Services
  • Artificial Intelligence
  • Autogen
  • Cloud Computing
  • Collaboration
  • Continuous Delivery
  • Continuous Integration
  • Database
  • Flask
  • Git
  • Good Clinical Practice
  • Google Cloud Platform
  • LangChain
  • Large Language Models (LLMs)
  • Management
  • Microservices
  • Microsoft Azure
  • Prompt Engineering
  • Python
  • Software Development
  • Vector Databases

Summary

Hi,
 
We do have an urgent requirement for the below position with our direct client, Please submit Resume, Rate and Contact details.

Title: Agentic AI Engineer
Location: Dallas, Tx
Duration: Long term
 
Job Summary: We are looking for an Agentic AI Engineer with 3–5 years of experience in designing and developing AI-powered applications using Large Language Models (LLMs) and agentic AI frameworks. The ideal candidate should have hands-on experience building autonomous AI agents, integrating APIs, implementing RAG solutions, and developing scalable AI applications.

Key Responsibilities:
  • Design and develop Agentic AI applications using LLMs.
  • Build AI agents using frameworks such as LangChain, LangGraph, CrewAI, AutoGen, or similar.
  • Develop Retrieval-Augmented Generation (RAG) pipelines with vector databases.
  • Integrate AI agents with enterprise APIs, databases, and third-party services.
  • Create prompt engineering strategies and optimize AI model performance.
  • Develop backend services using Python and REST APIs.
  • Collaborate with cross-functional teams to deliver AI solutions.
  • Troubleshoot, optimize, and maintain AI applications.
Required Skills:
  • 3–5 years of software development experience.
  • Strong Python programming skills.
  • Experience with LLMs (OpenAI, Azure OpenAI, Anthropic, Gemini, or Llama).
  • Hands-on experience with LangChain, LangGraph, CrewAI, AutoGen, or similar frameworks.
  • Knowledge of RAG, embeddings, vector databases (Pinecone, ChromaDB, FAISS, Weaviate).
  • Experience with FastAPI or Flask.
  • Familiarity with REST APIs and microservices.
  • Experience with Git and CI/CD.
  • Knowledge of cloud platforms (AWS, Azure, or Google Cloud Platform).
 
 
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: 90943978
  • Position Id: 9043141
  • Posted 1 hour ago
Contact the job poster
Vamsi Krishna

Vamsi Krishna

Senior Talent Acquisition Specialist @ SSTech LLC
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