Founding Engineer, Agents

Wwshemi; San Francisco (CA); On-site; USD 200,000 - 300,000; Full time

Benefits offered by this job

Meaningful founding equity

Visa sponsorship available

Job summary

Wwshemi in San Francisco is seeking an AI/Agent Engineer to design and own autonomous agent systems that pursue goals over weeks with minimal human input. You will develop memory, evaluation, and reliability to outperform human baselines and scale agent runs.

Ideal candidates have 1–2 years at AI-focused startups, strong engineering fundamentals, and a track record shipping software at scale. Opportunities include significant founding equity and visa sponsorship.

Qualifications

• Hands-on experience building production agents with reliability.
• 1–2 years at a fast-growing AI startup.
• Experience building agent memory and long-running execution with goal management.
• Experience creating evaluations that inform real decisions and comparisons to human baselines.
• Substantive engineering work with software shipped at meaningful scale.
• Strong fundamentals; a degree or equivalent credential valued.

Responsibilities

• Build agents that pursue a goal over weeks with minimal human intervention.
• Design memory systems to help agents retain knowledge and improve over time.
• Develop evaluation frameworks to measure whether agents outperform people on tasks.
• Improve reliability and reduce human review of agent runs.

Skills

Agent design

Memory systems

Evaluation frameworks

Long-running execution

Education

Bachelor's degree or equivalent

Job description

This listing's locations On-site - San Francisco, California, United States

Employment Full-time

Workplace On site

Compensation $200000–300000 per year

Build autonomous agents designed to handle complex computer-based work reliably over extended periods. You will own core agent systems, from execution and memory to the evaluations that measure performance against human baselines.

What You'll Do

• Build agents that can pursue a goal over multiple weeks with minimal human intervention.
• Design memory systems that help agents retain knowledge and improve over time.
• Develop evaluation frameworks to determine whether agents outperform people on specific tasks.
• Improve reliability and reduce the need for human review of agent runs.

What We're Looking For

• Hands-on experience building production agents that people rely on, including a clear understanding of their failure modes.
• At least 1 to 2 years of experience at a fast-growing or AI-focused startup.
• Experience building agent memory, long-running execution, multi-step reasoning, or systems that maintain goals over time.
• A track record building evaluations that inform real decisions, including comparisons against human-level baselines.
• Evidence of substantive engineering work, with either published research others build on or software shipped at meaningful scale.
• Strong engineering fundamentals; a degree from a highly selective institution or an equivalent credential, such as founding a company, is valued.
• Agent architecture experience and backgrounds in competitive math, programming, debate, or games are beneficial.
• A collaborative, thoughtful approach to working through difficult problems.

Base salary is $200,000 to $300,000 annually, with up to $350,000 for exceptional candidates. Meaningful founding equity is included. Visa sponsorship is available.