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Agent Based Modeling Jobs in Chicago, IL (NOW HIRING)

Generative AI Engineer

Schaumburg, IL ยท On-site

$95K - $131K/yr

... agent-based systems. * Ability to stay up to date with new and upcoming technologies around AI ... Knowledge of LLM models trending in the industry. * A portfolio of projects demonstrating expertise ...

New

GenAI Product Builder

Chicago, IL ยท Hybrid

$110K - $140K/yr

Design and implement agent-based solutions - from workflow automation to patient communication ... Experience and proven track record applying skills in systems thinking, domain modeling, problem ...

GenAI Product Builder

Chicago, IL ยท On-site

$110K - $140K/yr

Design and implement agent-based solutions - from workflow automation to patient communication ... Experience and proven track record applying skills in systems thinking, domain modeling, problem ...

Apply hands-on expertise to build LLM-based systems, RAG pipelines, AI agents, and multi-agent orchestration solutions * Design AI platform capabilities including model selection, LLM routing ...

Apply hands-on expertise to build LLM-based systems, RAG pipelines, AI agents, and multi-agent orchestration solutions * Design AI platform capabilities including model selection, LLM routing ...

Senior AI Software Engineer

Chicago, IL ยท On-site

$72K - $141K/yr

Design and build enterprise AI applications using LLMs, prompt workflows, RAG, and agent-based patterns * Evaluate model quality, latency, cost, safety, and business effectiveness * Implement ...

Senior AI Software Engineer

Chicago, IL ยท Hybrid

$72K - $141K/yr

Design and build enterprise AI applications using LLMs, prompt workflows, RAG, and agent-based patterns * Evaluate model quality, latency, cost, safety, and business effectiveness * Implement ...

Showing results 21-40

Agent Based Modeling information

See Chicago, IL salary details

$15

$31

$41

How much do agent based modeling jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for agent based modeling in Chicago, IL is $31.05, according to ZipRecruiter salary data. Most workers in this role earn between $24.28 and $40.87 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive in the agent based modeling position, and why are they important?

To thrive in an Agent Based Modeling role, a strong background in computational modeling, mathematics, and systems analysis is typically required, often supported by a degree in computer science, engineering, or a related field. Proficiency with simulation tools such as NetLogo, AnyLogic, or Repast, as well as programming languages like Python or Java, is highly valuable. Effective communication, critical thinking, and strong collaboration skills help professionals explain complex models to stakeholders and work within multidisciplinary teams. These qualities are crucial for accurately simulating real-world systems, delivering actionable insights, and driving informed decision-making in various industries.

What are some typical challenges faced in an agent based modeling position?

A common challenge in Agent Based Modeling is accurately representing complex, real-world systems with diverse and dynamic agents while balancing computational resources and model simplicity. Professionals in this role often need to validate and calibrate their models with limited or imperfect data, requiring both technical skill and creativity. Additionally, effectively communicating modeling results to non-technical stakeholders and integrating feedback into iterations is a key part of the job. Overcoming these challenges provides rewarding opportunities to contribute to innovative solutions across areas like finance, healthcare, logistics, or social sciences.

What is an agent based modeling?

An Agent-Based Modeling (ABM) job involves developing and implementing simulations that model the interactions of autonomous agents within a system. These roles are common in fields like economics, epidemiology, traffic modeling, and artificial intelligence. Professionals in this role use programming and mathematical models to analyze complex systems and predict emergent behaviors. Key skills typically include coding (Python, NetLogo, or AnyLogic), data analysis, and knowledge of computational modeling techniques.

What are the most commonly searched types of Agent Based Modeling jobs in Chicago, IL? The most popular types of Agent Based Modeling jobs in Chicago, IL are:
What are popular job titles related to Agent Based Modeling jobs in Chicago, IL? For Agent Based Modeling jobs in Chicago, IL, the most frequently searched job titles are:
What job categories do people searching Agent Based Modeling jobs in Chicago, IL look for? The top searched job categories for Agent Based Modeling jobs in Chicago, IL are:
What cities near Chicago, IL are hiring for Agent Based Modeling jobs? Cities near Chicago, IL with the most Agent Based Modeling job openings:
Infographic showing various Agent Based Modeling job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 15% Part Time, and 6% Contract. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $64,592 per year, or $31.1 per hour.

Generative AI Engineer

Prophecy Technologies

Schaumburg, IL โ€ข On-site

$95K - $131K/yr

Full-time

Posted 3 days ago

New


Job description

Role Overview:
We are seeking a highly motivated and adaptable AI Engineer to join an innovative team. The ideal candidate will possess a strong background in both Generative AI and traditional Machine Learning, with a proven ability to work on existing applications and develop new solutions. This role is crucial for migrating and enhancing AI-driven projects, leveraging Large Language Models (LLMs), and building intelligent agents in a fast-paced environment.
Key Responsibilities:
  • Develop, maintain, and enhance existing applications utilizing 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 translate business requirements into technical specifications for AI engineering projects.
  • Conduct experiments, implement new technologies, and contribute to the rapid evolution of AI capabilities.
  • Lead the migration of existing projects, including those with agents and LLMs, to the Google Cloud Platform (GCP) environment.
  • Engage in full-stack development, focusing 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.

Required Skills:
  • 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 BigQuery, Google SQL, and other GCP technologies and APIs.
  • 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 (e.g., Agentic RAG).
  • 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.
  • Ability to estimate high-level cost of usage in GCP for applications hosted/deployed.
  • Familiarity with functional and non-functional testing of AI/ML applications and operationalizing them in production.

Qualifications:
  • Bachelor's degree in Computer Science, Engineering, or a related field.
  • A minimum of 2-3 years of professional experience in an AI or Machine Learning engineering role.

Preferred Skills:
  • Familiarity with Amazon Web Services (AWS).
  • Knowledge of LLM models trending in the industry.
  • A portfolio of projects demonstrating expertise in AI and full-stack development.