Mucker Capital – AI Systems Engineer

Back to all jobs
The Job Sauce
Published
May 13, 2026
Location
Chicago, IL
Category
Job Type

Mucker Capital – AI Systems Engineer: our view in 3 lines...

  • The Role: Build backend AI systems and architecture for autonomous products as a core engineer working across fund-level incubations with founders.
  • The Person: Design and build backend AI systems including multi-step reasoning workflows, agent-based architectures, and feedback loops for evaluation and continuous improvement.
  • Requirements: Experience building AI/ML or LLM-based systems in production and familiarity with agent frameworks, RAG systems, or evaluation pipelines.

Job Description

Mucker Capital

Summary

Mucker Capital is a leading software-focused venture capital fund. This role is the opportunity to work inside a top-performing venture fund incubating products as a critical member of a small, fast-moving team of experienced founders and investors. You will own what you build from idea to deployment. This a fund-level role building internal systems and multiple incubations.

We’re building a set of autonomous AI-driven products designed to reason, make decisions, and operate in real-world workflows.

We have early versions in place and are now focused on developing the core intelligence layer — systems that can go beyond generating outputs to actually thinking, evaluating, and improving over time.

The Role

You’ll work directly with founders to design and build the AI systems behind these products, including:

  • Multi-step reasoning and decision workflows

  • Agent-based architectures

  • Feedback loops for evaluation and continuous improvement

This is a backend / systems-focused role with significant ownership over architecture and direction.

What We’re Looking For

  • Experience building AI/ML or LLM-based systems in production

  • Strong systems thinking — ability to break down complex problems into structured workflows

  • Interest in how systems:

    • generate high-quality outputs

    • handle ambiguity

    • improve with feedback

  • Experience with agent frameworks, RAG systems, or evaluation pipelines is helpful, but not sufficient on its own.

Why This Role

  • Work directly with founders in a high-ownership environment

  • Build systems from MVP → production → scale

  • Help define how autonomous AI systems operate in real-world applications

Key Skills
? Key Skills in dark blue have been inferred based on similar industry roles
Python Llms Agent Frameworks RAG Systems Production ML Systems System Architecture Distributed Systems Go ML LLM

Subscribe to Career Resources

Get the latest career advice, industry insights, and job opportunities delivered to your inbox.