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Hudson Information Technology and Manpower Services

Agentic AI Engineer - USC/GC || W2 Role

Posted 6 Days Ago
Be an Early Applicant
Hybrid
Chicago, IL, USA
40-50 Hourly
Senior level
Hybrid
Chicago, IL, USA
40-50 Hourly
Senior level
Design, build, and deploy agentic AI systems using LLMs and generative AI. Develop prototypes and scalable applications, integrate agents with APIs/databases and external tools, optimize prompts and workflows, work with frameworks like LangChain/LangGraph/AutoGen, and collaborate cross-functionally.
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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, along with strong programming expertise.


Location: Chicago, IL (Hybrid)
Employment Type: W2 Only
Work Authorization: USC / GC

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 LangChain, LangGraph, AutoGen, 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 (LangChain, LangGraph, AutoGen, 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+ year of hands-on experience in Generative AI / Agentic AI

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