Agentic AI Engineer - USC/GC | W2 Role

hudsonmanpower; Chicago (IL); Hybrid; USD 140,000 - 210,000; Full time

Job summary

hudsonmanpower seeks an Agentic AI Engineer to design, develop, and deploy autonomous AI agents using Generative AI, LLMs, and agent-based frameworks.

The role focuses on integrating AI agents with APIs and external tools, building prototypes, and optimizing prompts in a hybrid Chicago environment.

Qualifications

• 8+ years of software development experience.
• 5+ years of hands-on Generative AI / Agentic AI experience.

Responsibilities

• Design and develop agentic AI systems capable of autonomous reasoning, planning, and execution.

Skills

Python programming

Generative AI/LLMs

OpenAI APIs / Hugging Face

Agent-based frameworks

Prompt engineering / AI workflows

REST APIs & system integration

Analytical problem-solving

Tools

LangChain

LangGraph

AutoGen

Pinecone

FAISS

AWS/Azure/GCP

Job description

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+ years of hands‑on experience in Generative AI / Agentic AI