Founding AI Engineer

Job Description

Job Description

About the Role

Join 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 For

Required

• 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

Location

This is a fully on-site role based in San Francisco, California . The team works together in person — no remote or hybrid option.