Mucker Capital - AI Systems Engineer

Department: Mucker Capital

Location: Chicago, IL (Hybrid)

Compensation: $150K – $180K

Employment Type: FullTime

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