Remote AI Learning Systems Engineer (Equity)

Big Wombat LLC; United States; Remote; USD 215,000 - 325,000; Full time

Benefits offered by this job

Equity

Remote across US/EU time zones

Competitive salary

Job summary

Big Wombat LLC in the United States is seeking a software engineer to build product systems that help an AI assistant learn from everyday work, with emphasis on making improvements usable for non-technical users.

You will design end-to-end pipelines to gather evidence, derive skills and memories, evaluate impact, and provide clear controls over what is retained and applied by the assistant.

The role is full-time and remote across US/EU time zones, with base salary and equity offered.

Qualifications

• Software engineering experience spanning product systems and backend or agent workflows.
• Ability to build and evaluate systems that learn from usage, corrections, or task outcomes.
• Product judgment for making complex AI behavior understandable and controllable to non-technical users.
• Careful handling of relevance, limited context, and privacy when retrieving or sharing user-specific information.

Responsibilities

• Create an end-to-end process for gathering evidence from work, proposing improvements, evaluating them, and applying those that help.
• Build the runtime for finding, retrieving, loading, and combining relevant skills and memories for a task.
• Develop pipelines that derive new or updated skills and memories from session history.
• Design review experiences that let people accept, edit, or reject proposed learnings.
• Evaluate improvements against real tasks, detect when they become stale or harmful, and support correcting or retiring them.
• Explore ways to share useful learnings across a team while protecting private context.

Skills

Software engineering

Backend systems

Agent workflows

Product systems

Job description

Big Wombat LLC in the United States is seeking a software engineer to build product systems that help an AI assistant learn from everyday work, with emphasis on making improvements usable for non-technical users.

You will design end-to-end pipelines to gather evidence, derive skills and memories, evaluate impact, and provide clear controls over what is retained and applied by the assistant.

The role is full-time and remote across US/EU time zones, with base salary and equity offered.