Senior AI Systems Engineer in Mundelein

Energy Jobline is the largest and fastest growing global Energy Job Board and Energy Hub. We have an audience reach of over 7 million energy professionals, 400,000+ monthly advertised global energy and engineering jobs, and work with the leading energy companies worldwide.

We focus on the Oil & Gas, Renewables, Engineering, Power, and Nuclear markets as well as emerging technologies in EV, Battery, and Fusion. We are committed to ensuring that we offer the most exciting career opportunities from around the world for our jobseekers.

Job Description

A fast-growing AI company developing advanced design and engineering tools is looking for a Senior Applied AI Engineer to help build and scale intelligent agent systems powering their next- platform.

This role focuses on creating production-grade AI workflows and agent architectures that connect advanced models with real-world engineering and manufacturing environments. The successful candidate will play a key role in building systems that transform how engineers and designers interact with AI when creating physical products. This is a hands-on engineering role where you’ll work closely with product and research teams to translate cutting-edge AI capabilities into reliable, user-facing tools.

Responsibilities

• Design and implement AI agent systems and orchestration workflows for production applications.

• Build intelligent pipelines integrating LLMs, tools, and external systems.

• Develop evaluation frameworks to ensure reliability, performance, and accuracy of AI workflows.

• Work on applications that bridge software systems with physical manufacturing technologies (e.g., CAD, 3D printing, CNC).

• Collaborate with engineering and product teams to bring new AI capabilities into customer-facing products.

Qualifications

• Strong software engineering background with TypeScript, React, Node.js, and Python.

• Experience building LLM-powered applications and agent architectures (tool calling, multi-agent workflows, reasoning loops).

• Experience with orchestration frameworks such as LangChain, LangGraph, or similar.

• Proven experience integrating AI systems into production web products.

• Direct experience with the physical engineering world is essential – mechanical engineering, CAD, manufacturing, robotics, aerospace, or similar domains.

• Experience working with multimodal AI systems is highly beneficial.

The role is offering a salary of up to $250,000 per annum and is a hybrid working schedule (3 days per week).

Please apply if you would like to hear more.

If you are interested in applying for this job please press the Apply Button and follow the application process. Energy Jobline wishes you the very best of luck in your next career move.