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Founding AI Engineer

On-site
CleraSan Francisco, CA, US4 days agoWebsite
Active
Full-time
Engineering

Compensation

Salary undisclosed
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Description

About the Role

This is a founding engineering role at an early-stage consumer social tech startup building AI-powered in-person social experiences for young people. You'll sit at the heart of the product, owning the two systems that make everything work: intelligent group matching and multi-channel AI agent communication. The work is technically deep and directly shapes how people form real-world friendships at scale.

What You'll Do

  • Design and build a real-world social graph using collaborative filtering, embeddings, ranking systems, and reinforcement learning from live interaction outcomes.

  • Develop large-scale personalization and group-matching algorithms that continuously improve based on real-world friendship signals.

  • Architect and maintain multi-channel AI agent workflows across major consumer messaging platforms (SMS, Instagram, WhatsApp, and others).

  • Orchestrate a suite of AI agents handling end-to-end user journeys — onboarding, profiling, matching, logistics, reminders, and follow-ups.

  • Build scalable backend infrastructure connecting messaging APIs, third-party services, and the core data layer.

  • Contribute to human-AI interaction design, making agent experiences feel natural and effortless for users.

What We're Looking For

  • Proven, hands-on experience building AI/ML systems in production environments.

  • Full-stack comfort spanning data pipelines through to user-facing AI interactions.

  • Familiarity with multi-channel messaging APIs and modern AI agent frameworks.

  • Experience with recommendation systems, social graphs, or large-scale personalization is a strong plus.

  • Founding-engineer mindset: you ship fast, take end-to-end ownership, and stay composed in ambiguity.

Compensation & Benefits

  • Salary: $150,000 – $200,000 per year

  • Equity: Founding-level equity package

  • Visa sponsorship: Not available

Location

On-site in San Francisco, California, United States. This is an in-person role working alongside the founding team.

Stack

EmbeddingsAgentic AIMachine LearningReinforcement LearningData EngineeringRecommendation Systems
Posted
Aug 24, 2026
Last seen
Aug 24, 2026
First seen
Aug 24, 2026

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