AI Engineer

Insight Global; Chicago (IL); On-site; USD 100,000 - 130,000; Full time

Job summary

A leading staffing and services company in Chicago seeks an experienced AI Engineer to work closely with operations and clinical teams. This role involves observing workflows, identifying AI opportunities, and developing rapid prototypes. Candidates should have 3–7 years of AI/ML engineering experience, strong skills in Python, and familiarity with embedding AI in operational environments. The position is on-site and encourages a proactive, curious mindset for effective collaboration.

Qualifications

• 3–7 years of hands-on AI/ML engineering experience.
• Strong Python experience with modern ML frameworks.
• Prior work embedding AI into operational workflows.

Responsibilities

• Observe teams and learn workflows end to end.
• Identify AI value in processes and articulate use cases.
• Build and iterate rapid AI prototypes.

Skills

Hands-on AI/ML engineering experience

Strong Python experience

Prototype/POC experience

Experience fine-tuning LLMs

Embedding AI into workflows

Exposure to MLOps basics

Familiarity with workflow automation

Job description

Job Description

This role will be highly hands on and on site at Northwestern, spending time observing how teams work and learning workflows end to end. The AI Engineer will partner closely with operations, clinical, and business teams to identify where AI can add real value, then translate those real world observations into clear AI use cases and technical approaches. They will build rapid AI prototypes to test ideas, gather feedback, and refine solutions as they mature using an iterative crawl to walk to sprint approach. Success in this role requires comfort shadowing teams, asking questions, and learning how work actually happens, along with strong communication skills to clearly articulate AI opportunities to both technical and non technical stakeholders. A proactive, curious mindset is essential for someone who is eager to learn, collaborate, and help shape how AI is adopted across the organization.

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to [e-mail] learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy: https://insightglobal.com/workforce-privacy-policy/.

Skills and Requirements

• 3–7 years of hands‑on AI/ML engineering experience, including model development, fine‑tuning, and applied use cases.
• Strong Python experience with modern ML frameworks (PyTorch, TensorFlow, Hugging Face, scikit‑learn).
• Proven prototype/POC experience, ability to quickly build, test, and iterate on AI solutions.
• Experience fine‑tuning LLMs or domain‑specific models.
• Prior work embedding AI into business or operational workflows (healthcare, operations, enterprise environments).
• Exposure to MLOps or deployment basics (APIs, model versioning, cloud platforms).
• Familiarity with process mapping, workflow automation, or human‑in‑the‑loop systems.