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Member of Technical Staff San Francisco, CA 120K-300K


Job Location:

San Francisco, CA - USA

Yearly Salary: $ 120000 - 300000
Posted: 29 June 2026 (30+ days ago)
Application Deadline: 26 September 2026
Vacancies: 1 Vacancy

Job Summary

Location: San Francisco CA (in-person)

Compensation: $120000 - $300000 per year plus equity

Join an early-stage AI company building autonomous agents that automate financial compliance work for banks and fintechs replacing manual review processes with AI analysts that operate inside browsers APIs and internal systems.

What Youll Own

- Architect agent behaviors that navigate legacy systems government portals and third-party platforms like a human analyst would

- Build backend systems and optimize ML pipelines that process risk signals at the speed transactions move

- Design and improve a proprietary deep research pipeline to keep LLM-based analysis accurate and hallucination-free

- Own features end-to-end from architecture through shipping often within the same week

- Build robust production-grade systems that institutions trust with billions of dollars in transactions

What Youll Bring

- 1 years of experience in backend development and/or machine learning ideally in Python and AWS

- Hands-on experience deploying software to production environments

- A high bar for quality and comfort owning edge cases and error handling in high-stakes systems

- Strong communication skills and comfort working directly with clients

- Genuine excitement about pushing the frontier of what AI agents can do in production

Nice to Have

- Experience with browser automation or computer vision

- Background with distributed inference caching or queue orchestration on AWS

- Familiarity with LLM systems or deep research pipelines

- Knowledge of compliance AML KYC or financial crime domains

- Competitive coding background or active personal/open-source projects

- Prior experience as a founder or at an early-stage startup

This is a chance to work on hard unsolved problems at the frontier of AI agents in production building the intelligence layer that protects the financial system with a small team that ships fast and has never lost a deal.