About the RoleJoin a small, in-person founding team in San Francisco building an AI-first platform that organises real-world social connections for young people - think curated small-group hangouts powered end-to-end by AI agents. As a
Founding AI Engineer, you'll own two of the most technically challenging and impactful areas of the product: AI-driven matching and social graphs, and multi-channel AI agent experiences.
This is a ground-floor opportunity with significant equity upside at a company solving a genuine human problem - loneliness among Gen Z - at growing scale across US university campuses.
No visa sponsorship is available. Candidates must be eligible to work in the United States without employer sponsorship.What You'll Do- AI Matching & Social Graphs
- Design and build a novel social graph derived from real-world interaction data, processing millions of data points
- Develop collaborative filtering, graph embeddings, and ranking systems to match people into highly compatible groups
- Apply reinforcement learning from real-world outcomes to continuously improve personalization
- Discover patterns in interaction data that correlate with meaningful, lasting friendships
- Multi-Channel AI Agent Experiences
- Architect and build agent workflows that operate natively across messaging platforms (Instagram, iMessage, WhatsApp, TikTok, and others)
- Integrate and orchestrate multiple AI agents, third-party APIs, and the data layer into a seamless user experience
- Design scalable, production-grade infrastructure to support AI workloads and multi-channel agent orchestration
- Craft human-AI interactions that feel natural, reliable, and effortless at scale
What We're Looking ForRequired- Up to 4 years of hands-on experience building AI/ML systems in production (quality of experience matters more than tenure)
- Proven experience with large-scale AI/ML for matching or personalization - collaborative filtering, graph-based representations, embeddings, and ranking
- Experience deploying reinforcement learning models from real-world feedback signals
- Hands-on experience designing and implementing multi-channel agent experiences with API orchestration across social/messaging platforms
- Proficiency in production-grade software engineering: distributed systems, scalable data pipelines, cloud infrastructure (AWS, GCP, or Azure)
- Strong cross-functional collaboration and communication skills - comfortable working closely with product, design, and data science
- Founding mindset: you ship fast, own problems end-to-end, and thrive in ambiguity
- Must be eligible to work in the United States without visa sponsorship
Nice to Have- Prior experience with recommendation systems, social graphs, or large-scale personalization platforms
- Familiarity with multi-agent orchestration frameworks
- Experience at an early-stage startup or in a founding engineer capacity
Compensation & Benefits- Salary: $150,000 - $200,000 per year
- Equity: Meaningful founding-level equity
- Early-stage company with significant upside potential
LocationThis is a
fully on-site role based in
San Francisco, California. The team works together in person - no remote or hybrid option.
