F2 Ai
Staff Software Engineer
San Francisco, Remote. Posted 3 months ago
The role
A hands-on Staff Software Engineer will build and ship features across the entire stack for an AI-driven enterprise analytics platform. You will architect systems, build AI-heavy product experiences, and ensure security and compliance.
What you will do
- Design and implement features end-to-end across frontend, backend, and AI layers.
- Define and execute the technical vision and multi-year roadmap for the application platform.
- Design and operate systems behind document processing, chat, and analytics.
- Ship features and services that meet SOC 2 requirements.
- Set and uphold standards for code quality, testing, deployment, observability, and incident response.
- Mentor engineers to foster a culture of reliable, maintainable, high-velocity development.
- Partner with product, design, and enterprise customers to translate requirements into solutions.
Required qualifications
- 7+ years building and scaling mission-critical software.
- Demonstrated experience architecting products and systems from the ground up.
- Production experience across modern web frontends (React/Next.js or equivalent).
- Production experience across backend services (Python and/or Node.js).
- Experience with API design, data modeling, and building for performance and reliability.
- Comfort operating Postgres at scale (RDS, Supabase, or self-managed).
- Comfort operating Redis.
- Comfort operating workflow/message systems (Temporal, SQS, Kafka).
- Familiarity building AI-powered features — LLM integration, retrieval, agents, or streaming interfaces.
- Practical experience building within SOC 2 (or similar) compliance programs.
- Experience with access control, secrets handling, and multi-tenant data isolation.
Nice to have
- vector databases or LLM serving infrastructure
Benefits
- base salary
- equity (stock options)
- benefits
About the company
F2 is a vertical AI platform for private markets and commercial banking. It transforms unstructured deal materials into decision-ready insights.