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Agentic AI Engineer - USC​/GC​/GC-EAD | W2

Job in Chicago, Cook County, Illinois, 60290, USA
Listing for: Hudson Manpower
Full Time position
Listed on 2026-06-24
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Backend Developer, Machine Learning/ ML Engineer, AI Reliability/ Performance Engineer
Salary/Wage Range or Industry Benchmark: 125000 - 150000 USD Yearly USD 125000.00 150000.00 YEAR
Job Description & How to Apply Below
Position: Agentic AI Engineer - USC/GC/GC-EAD | W2 Role

Job Summary

We are seeking a skilled Agentic AI Engineer to design, develop, and deploy intelligent AI agents capable of autonomous decision‑making and task execution. The ideal candidate will have hands‑on experience with Generative AI, LLMs, and agent‑based frameworks, alongside strong programming expertise.

Location

Chicago, IL (Hybrid)

Employment Type

W2 Only

Work Authorization

USC / GC / GC‑EAD

Key Responsibilities
  • Design and develop agentic AI systems capable of reasoning, planning, and executing tasks autonomously
  • Build and deploy AI solutions using LLMs and Generative AI technologies
  • Develop prototypes, PoCs, and scalable AI applications
  • Integrate AI agents with APIs, databases, and external tools
  • Work with frameworks like Lang Chain, Lang Graph, Auto Gen
    , or similar
  • Optimize prompts and workflows for performance and accuracy
  • Collaborate with cross‑functional teams to deliver AI‑driven solutions
  • Stay updated with the latest advancements in AI and agentic systems
Required Skills
  • Strong experience in Python programming
  • Hands‑on experience with Generative AI and Large Language Models (LLMs)
  • Experience with OpenAI APIs, Hugging Face, or similar platforms
  • Knowledge of agent‑based frameworks (Lang Chain, Lang Graph, Auto Gen, etc.)
  • Understanding of prompt engineering and AI workflows
  • Experience with REST APIs and system integrations
  • Good problem‑solving and analytical skills
Preferred Qualifications
  • Experience in building multi‑agent systems
  • Familiarity with vector databases (Pinecone, FAISS, etc.)
  • Knowledge of cloud platforms like AWS, Azure, or GCP
  • Exposure to real‑world AI product deployments
Experience
  • 8+ years of software development experience
  • 5+ years of hands‑on experience in Generative AI / Agentic AI
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