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Founding AI Engineer

On-site
CleraSan Francisco, CA, US1 week agoWebsite
Active
Full-time
Engineering

Compensation

Salary undisclosed
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Description

About the Role

A fast-growing, AI-first consumer social platform is hiring a Founding AI Engineer to join its core team in San Francisco. The company uses AI agents to facilitate real-world, in-person social connections — organizing curated small-group hangouts for young people, with a growing presence across university campuses in the US. The platform operates entirely through AI: matching, logistics, reminders, follow-ups, and continuous learning, all without a traditional app.

As a founding engineer, you will own two mission-critical pillars of the product and have an outsized impact on the direction of the technology.

What You'll Do

AI Matching & Social Graphs

  • Build a new type of social graph grounded in real-world interaction data

  • Match people into highly compatible groups and surface patterns that drive meaningful friendships

  • Work with millions of data points using collaborative filtering and graph intelligence

  • Develop and iterate on embeddings, ranking systems, and large-scale personalization

  • Apply reinforcement learning informed by real-world outcomes

Communication Workflows & AI Agent Experience

  • Design and build AI agent experiences across channels where users already are (e.g. Instagram, iMessage, WhatsApp, TikTok)

  • Orchestrate multi-channel agent workflows connecting APIs, third-party services, and the database layer

  • Build scalable infrastructure to support complex, multi-step AI workflows

  • Own human-AI interaction design for a seamless, natural user experience

What We're Looking For

Required:

  • 4–10+ years of experience building AI/ML systems in production

  • Comfort working across the full stack — from data pipelines to user-facing agent interactions

  • Familiarity with multi-channel messaging APIs and agent frameworks

  • Founding mindset: you ship fast, own problems end-to-end, and thrive in ambiguity

Nice to Have:

  • Experience with recommendation systems, social graphs, or large-scale personalization

Compensation & Benefits

  • Salary: $150,000 – $200,000 USD annually

  • Equity: Meaningful founding-level equity

  • Early-stage opportunity with significant upside in a growing consumer tech company

Note: Visa sponsorship is not available for this role.

Location

This is a full-time, on-site role based in San Francisco, California. The team works together in person.

Stack

EmbeddingsAgentic AIMachine LearningReinforcement LearningData EngineeringRecommendation Systems
Posted
Aug 16, 2026
Last seen
Aug 16, 2026
First seen
Aug 16, 2026

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