Senior AI Product Engineer in Mundelein

Job Description

Role

Title:

Senior AI Product Engineer / Senior AI Product Engineer II

Location: Bay Area (Hybrid – minimum 3 days onsite)

We’re partnering with a high-growth technology company building the next of intelligent, autonomous systems to transform how complex business workflows are executed.

This is a rare opportunity to join at a true inflection point. The organization is moving beyond assistive AI into fully agentic systems — software that can take action, complete workflows, and deliver outcomes end‑to‑end with minimal user intervention.

As a Senior AI Product Engineer, you’ll play a critical role in building these systems from the ground up. You’ll work on production‑grade AI products that directly impact customers, owning everything from architecture through deployment and iteration.

If you’re excited by 0→1 challenges, high ownership, and building AI that actually works in the real world, this role is for you.

• Real AI impact: Build and ship production, customer-facing agentic systems — not prototypes or internal tools
• True ownership: Drive end‑to‑end development of AI products from concept through scale
• 0→1 environment: Help define foundational systems at a pivotal stage of growth
• High-trust culture: Work in a team that values autonomy, curiosity, and accountability
• Small, high-impact teams: Your work directly shapes product direction and user experience
• Meaningful technical challenges: Solve real-world problems in autonomy, orchestration, evaluation, and reliability
• Strategic influence: Contribute to the architecture and direction of AI across the platform

This is a deeply technical, engineering‑first role focused on building agentic AI systems within a live product environment
.

You’ll operate within a small, focused team owning a specific domain, partnering closely with product while maintaining full engineering responsibility. This is not incremental feature work — it’s building the systems that will define how users interact with the product going forward.

Expect to spend the majority of your time coding and designing systems, with a strong emphasis on delivering scalable, production‑ready solutions.

• End‑to‑end development of agentic AI systems, from concept to production
• System design and architecture for scalable, autonomous workflows
• Prompt engineering, orchestration, and agent behavior design
• Evaluation frameworks to measure performance, reliability, and accuracy
• Continuous iteration loops: diagnosing issues and improving system outcomes
  
  Shared platform components enabling consistent AI capabilities across products
• Collaboration across teams to ensure seamless, unified user experiences

• Proven experience building and deploying production‑level, customer‑facing agentic AI systems
• Deep understanding of the full agent lifecycle
  : prompting, orchestration, evaluation, debugging, and iteration
• Strong software engineering foundation (backend or full‑stack) with hands‑on AI development
• Proficiency in Python or Type Script
• Experience running structured evaluations and improving systems based on results
• Clear ownership mindset — able to articulate what you built, why you built it, and how you improved it
• Ability to think from a user perspective and design solutions accordingly

• Senior AI Product Engineer: 4–6 years
• Senior AI Product Engineer II: 6–8 years

• Experience with retrieval‑augmented (RAG)
• Familiarity with agent frameworks or orchestration tools (e.g., Lang Chain, Bedrock, or similar)
• Background in fast‑paced, high‑growth environments

Python
· Type Script  
· LLMs
· Agent Frameworks
· Retrieval Systems (RAG)
· Cloud AI Platforms
· Distributed Systems
· Evaluation & Observability Tooling