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Agentic AI​/AI Engineer - Generative AI & Machine Learning

Job in Schaumburg, Cook County, Illinois, 60173, USA
Listing for: Iconma
Full Time position
Listed on 2026-08-15
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Cloud Engineer - Software, Full Stack Developer
Job Description & How to Apply Below

Agentic AI/AI Engineer
- Generative AI & Machine Learning

Our client, a Medical Research company, is looking for an Agentic AI/AI Engineer
- Generative AI & Machine Learning for their Schaumburg, IL/Remote location.

Responsibilities:
  • Design, develop, deploy agent-based software systems
  • Ability to work with Agentic AI tools, like google's Agent Space
  • Expertise in integrating large language models (LLMs)
  • Developing multiagent architectures
  • Developing and deploying agentic systems using frameworks like Lang Chain, Auto Gen, CrewAI, or Semantic Kernel
  • Implementing RAG (Retrieval Augmented Generation) architectures and integrating them with enterprise knowledge systems
  • Strong proficiency in Python and experience with AI/ML libraries and frameworks.
  • Solid understanding of AI concepts, including LLMs, agentic AI, and reinforcement learning.
  • Experience with cloud platforms like Azure, AWS, or Google Cloud
  • We are seeking a highly motivated and adaptable AI Engineer to join our innovative team.
  • The ideal candidate will have a strong background in both Generative AI and traditional Machine Learning, with a proven ability to work on existing applications and develop new solutions.
  • You will play a key role in migrating and enhancing our AI-driven projects, leveraging Large Language Models (LLMs), and building intelligent agents.
  • This is an exciting opportunity for a forward-thinking engineer who is passionate about experimenting with cutting-edge technologies and evolving in a fast-paced environment.
  • Develop, maintain, and enhance existing applications that utilize both Generative AI and traditional Machine Learning.
  • Work extensively with Large Language Models (LLMs) to build and refine AI-powered features.
  • Design, create, and deploy intelligent agents to automate and optimize processes.
  • Collaborate with stakeholders to understand and translate business requirements into technical specifications for AI engineering projects.
  • Conduct experiments, implement new technologies, and contribute to the rapid evolution of our AI capabilities.
  • Lead the migration of existing projects, including those with agents and LLMs, to our Google Cloud Platform (GCP) environment.
  • Engage in fullstack development, with a focus on Python for backend services and React for frontend interfaces.
  • Perform data analysis using SQL to query and manipulate data from MS SQL Server, MySQL, and other relational databases.
Requirements:
  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • A minimum of 23 years of professional experience in an AI or Machine Learning engineering role. Experience with Python is a must.
  • Demonstrated experience with concepts such as MCP, RAG, Semantic search, Generative AI, LLMs, and building agent-based systems. Ability to stay up to date with new and upcoming technologies around AI development (ex: Agentic RAG)
  • Strong proficiency in Python for backend development and machine learning.
  • Solid experience with React for frontend development.
  • Expertise in SQL and experience working with relational databases such as MS SQL Server and MySQL.
  • Hands-on experience with GCP AI/ML services, including Big Query, Google SQL and other technologies and APIs within GCP.
  • Ability to quickly grasp new requirements, experiment with new technologies, and adapt to a rapidly changing environment.
  • Experience in taking over existing AI/ML applications from other teams.
  • Estimate at a high level cost of usage in GCP for applications hosted/deployed
  • Familiar with functional and nonfunctional testing of AI/ML applications and operationalizing it in production
  • Familiarity with Amazon Web Services (AWS), LLM models trending in the industry.
  • A portfolio of projects demonstrating your expertise in AI and fullstack development.
Why Should You Apply?
  • Health Benefits
  • Referral Program
  • Excellent growth and advancement opportunities
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