Job Overview
Location
San Francisco
Job Type
Full-time
Category
Software Engineering
Date Posted
July 21, 2026
Full Job Description
đź“‹ Description
- • Hands-on product building. Design and implement features end-to-end across frontend, backend, and AI layers. Actively writing production code and shipping real systems, not just specs and diagrams.
- • Own the technical architecture. Define and execute the technical vision and multi-year roadmap for our application platform (Next.js/React frontend, containerized Python and Node services), ensuring rapid iteration while scaling reliably with enterprise demand.
- • Build AI-heavy product experiences. Design and operate the systems behind document processing, chat, and analytics — spanning workflow orchestration (Temporal), streaming pipelines, vector search, and LLM inference paths; balancing latency, quality, and cost.
- • Build for security and compliance. Ship features and services that meet SOC 2 requirements from day one: multi-tenant isolation, least-privilege access, audit logging, and encrypted data flows across storage, database, and AI providers.
- • Establish engineering excellence. Set and uphold standards for code quality, testing, deployment pipelines, observability, and incident response; mentor engineers to foster a culture of reliable, maintainable, high-velocity development.
- • Cross-functional collaboration. Partner with product, design, and enterprise customers to translate requirements into pragmatic, well-crafted solutions that ship quickly and hold up under real usage.
🎯 Requirements
- • Hands-on technical leadership. 7+ years building and scaling mission-critical software, with demonstrated experience architecting products and systems from the ground up.
- • Full-stack fluency. Production experience across modern web frontends (React/Next.js or equivalent) and backend services (Python and/or Node.js), including API design, data modeling, and building for performance and reliability.
- • Systems and data expertise. Comfort operating Postgres at scale (RDS, Supabase, or self-managed), Redis, and workflow/message systems (Temporal, SQS, Kafka), and ideally vector databases or LLM serving infrastructure.
- • Product and AI sensibility. Familiarity building AI-powered features — LLM integration, retrieval, agents, or streaming interfaces — with a focus on real user value.
- • Security-first mindset. Practical experience building within SOC 2 (or similar) compliance programs, including access control, secrets handling, and multi-tenant data isolation.
🏖️ Benefits
- • $200K – $300K base salary
- • Offers Equity
- • Total rewards package including base salary, equity (stock options), and benefits
Skills & Technologies
See exactly how your profile matches this role — strengths, skill gaps, and what to do about them.
About F2 AI Inc.
F2 AI is a technology company focused on developing advanced artificial intelligence solutions. Their core business revolves around creating and deploying AI-powered tools and platforms designed to enhance operational efficiency and decision-making for businesses across various sectors. They specialize in areas such as machine learning, natural language processing, and computer vision, aiming to provide innovative solutions that address complex industry challenges. F2 AI's offerings typically cater to enterprises seeking to leverage AI for competitive advantage, data analysis, and process automation, positioning them within the rapidly growing AI and machine learning market.
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