AI Engineer

Batch: 2023/2024/2025/2026. What We're Looking For: - Strong Python fundamentals - Clear thinking around system design and performance trade-offs - Experience deploying AI systems in production (1–5 years is typical) - Familiarity with transformers, embeddings, or LLM deployment Nice to have: - Exposure to C++ / Rust / Go - Experience in distributed or performance-critical environments - Comfort operating with ownership and minimal hand-holding Why This Role: - You'll build AI systems that directly impact research and infrastructure - You'll work with engineers who argue about trade-offs — and care about getting them right - You'll have real ownership from design to deployment