Founding AI Engineer

🚀 About Snapp AI

We're building the Superhuman Sports AI Teammate — transforming sports video and data into instant insights for coaches and individual athletes.

Snapp is a sports Large Visual Memory Model (LVMM) using agentic system and multimodal encoding that processes visual, audio, and contextual information for human-like understanding of sports content. Our platform enables semantic search, content retrieval, and multi-video analysis across unlimited sports footage with persistent, searchable memory.

Snapp is venture-backed (including a16z) and led by a team of repeat founders, including the co-founders of Caviar and Luxe.

🏈 The Role

We're looking for our Founding AI Engineer to join our AI & engineering team, partnering closely with our product and business team. You'll collaborate across our engineering stack with a focus on expanding and optimizing our knowledge graphs, retrieval architecture, and agentic orchestration. You'll integrate AI capabilities into production systems and help bring sports AI teammates powered by millions of analyzed sports videos to athletes and colleges.

This is a foundational role where you'll take ownership of our multi-agent system, knowledge graphs, and RAG models that power our sports AI analysis platform. You'll need to pivot quickly in a fast-moving startup environment while contributing broadly across our engineering stack.

💻 What You'll Do

• Take ownership of our knowledge systems: Enhance and expand multimodal indexing pipelines, knowledge graphs, and retrieval systems that power our sports LVMM
• Contribute to our agentic orchestration: Optimize and expand our multi-agent frameworks, tooling, and prompt engineering alongside building evaluation systems
• Contribute across our engineering initiatives: Build and maintain our full-stack platform while driving AI-focused projects and system integrations
• Scale production systems: Deploy, monitor, and optimize AI systems in close partnership with our engineering team
• Drive foundational improvements: Lead initiatives to enhance retrieval performance, semantic understanding, and system reliability

🔑 You Bring

• Backend engineering fundamentals: Experience building APIs, microservices, and system architecture (queues, data persistence, cross-service communication)
• Cloud infra & deployment: Hands-on experience with cloud services and CI/CD pipelines
• Advanced RAG/MAG systems (or able to learn fast): Memory Augmented Generation, multimodal indexing, semantic search/ranking
• Multi-modal knowledge graphs (or able to learn fast): Graph databases, entity recognition, semantic modeling, searchable indexing
• 4+ years python experience and adept with modern AI coding tools (ex: Claude Code)
• Passion for solving core customer problems with a highly collaborative approach

👍 Nice to Have

• AI evaluation frameworks: DeepEval, RAGAS, LLM-as-a-Judge, or similar evaluation methodologies
• Multi-agent frameworks: CrewAI, LangChain, LangGraph, or similar multi-agent orchestration systems
• AI monitoring/observability tools: Braintrust, LangSmith, or similar production observability and monitoring platforms
• Sports knowledge: Played team sports or knowledgeable about sports analytics (not required for success)

⛳ Compensation & Location

• Salary: $200k - $250k
• Equity: 0.5% - 2%
• Insurance: Comprehensive medical, dental, life and vision
• Hybrid: San Francisco Bay Area (1–2 days in-office in SF per week)

📩 How to Apply

Send your GitHub/LinkedIn/Resume to [email protected] with the subject: “Founding AI Engineer – Snapp”