Member of Technical Staff

San Francisco, CA · On-site · Full-time
Compensation: $120,000–$300,000 + Competitive Equity

About the Company

An early-stage, venture-backed FinTech building AI compliance analysts that automate AML, KYC, KYB, and transaction monitoring end-to-end for banks and fintechs. The product operates inside browsers, APIs, and internal systems the way a human analyst would, and is already live with financial institutions across multiple regions.

Founded 2024 · Seed stage · Small team · Industry: FinTech

The Role

A backend-leaning Member of Technical Staff building the end-to-end systems that power production AI compliance workflows — high-performance infrastructure, reliability, and backend architecture supporting mission-critical automation.

What you'll be doing

• Architect agent behaviors and build the backend systems behind production AI compliance workflows
• Build browser agents that navigate legacy systems, portals, and third-party platforms, interpreting unstructured data
• Process risk signals at the speed money moves — millions of transactions, sub-second decisions — via distributed inference, caching, queue orchestration, and self-healing data pipelines on AWS
• Contribute to an in-house deep-research pipeline that keeps LLMs from conflating similar entities
• Optimize ML pipelines and ship product features, owning problems vertically

Tech stack: Python, AWS; browser automation, computer vision, LLM systems.

Requirements

• Experience with backend development and/or ML, especially in Python and AWS
• Hands-on experience deploying software to production environments
• Strong communication skills and willingness to interact with clients

Green Flags

• Experience with browser automation and computer vision
• Background with distributed inference and optimization on AWS
• Familiarity with LLM systems and deep research pipelines
• Experience building systems that process millions of transactions at scale
• Knowledge of compliance, AML, KYC, or financial crime domains
• Competitive coding background
• Contributions to open-source projects or personal projects on GitHub
• Prior experience as a founder or at an early-stage startup

Red Flags

• Candidates from a pure data science background who lack strong technical skills
• Lack of hands-on experience deploying software to production
• Primarily academic or research experience without practical engineering work

Why Join

• Build frontier AI agents in production, solving hard problems with no off-the-shelf answers
• Large, underserved market with real customer traction and measurable impact
• Small team with wide surface area — own features end-to-end across backend, ML, and product

Details

• Location: San Francisco, CA
• Work policy: On-site
• Compensation: $120,000–$300,000 + equity
• Visa sponsorship: H-1B, O-1, OPT
• Experience: 1+ years
• Employment type: Full-time