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.
Be one of the first applicants, read the complete overview of the role below, then send your application for consideration.
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
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 xywuqvp 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