🛠 Tech Stack

💼 About This Role

You'll work directly with the engineering team to build the data layer powering next-gen AI models and agents. You'll own a scoped problem from day one and ship something that matters at a global-first AI company.

🎯 What You'll Do

• Build pipelines that ingest, chunk, embed, and surface licensed data
• Write evals to measure dataset and retrieval quality
• Contribute to internal and external developer tooling
• Support the team with ad-hoc technical projects

📋 Requirements

• Current student or recent grad in computer science or related field
• Built projects outside coursework like side projects or open source
• Comfortable in Python, Go, or Rust
• Understand how LLMs and retrieval systems work

✨ Nice to Have

• Familiarity with vector databases, embeddings, or RAG pipelines
• Experience with MCP or agentic tooling

🎁 Benefits & Perks

• 💵 Competitive base salary
• 🌍 Global-first environment with direct access to founding team
• 🧠 Real technical problems with no template

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter call· 30 min
2. 2Technical interview· 60 min
3. 3Offer· 1 week