Agentic AI Developer

THE JUDGE GROUP, INC.
Schaumburg, United States of America
yesterday

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Compensation
$ 135K

Job location

Schaumburg, United States of America

Tech stack

Artificial Intelligence
Amazon Web Services (AWS)
Azure
Cloud Computing
Python
Knowledge-Based Systems
TensorFlow
Reinforcement Learning
Google Cloud Platform
Enterprise Software Applications
Large Language Models
Multi-Agent Systems
Generative AI
Virtual Agents

Job description

Our client is seeking a highly skilled Agentic AI Developer to design and deliver cutting-edge AI-driven systems. This role focuses on building agent-based architectures powered by large language models (LLMs) to enable intelligent automation and advanced decision-making capabilities.

You will play a key role in developing scalable, production-ready AI solutions that integrate with enterprise systems and drive real business impact. What You'll Do

  • Design, develop, and deploy agent-based AI systems
  • Build and manage multi-agent architectures for complex workflows
  • Integrate large language models (LLMs) into enterprise applications
  • Develop agentic solutions using frameworks such as:
  • LangChain
  • AutoGen
  • CrewAI
  • Semantic Kernel
  • Implement and optimize Retrieval-Augmented Generation (RAG) architectures
  • Integrate AI solutions with enterprise knowledge systems and data sources
  • Ensure performance, scalability, and reliability of deployed AI systems
  • Collaborate with cross-functional teams to deliver production-ready AI features

Requirements

  • Strong experience developing agentic AI systems
  • Hands-on experience with Agentic AI tools (e.g., Google AgentSpace)
  • Expertise working with LLMs (Large Language Models)
  • Proficiency in Python
  • Experience with AI/ML frameworks and libraries
  • Solid understanding of:
  • LLMs
  • Agentic AI concepts
  • Reinforcement learning
  • Experience building and deploying RAG architectures
  • Cloud experience with Azure, AWS, or Google Cloud

Nice to Have

  • Experience deploying AI solutions into production environments
  • Familiarity with vector databases or embeddings
  • Background in enterprise-scale AI implementations

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