We're working with a fast-growing, VC-backed startup that's reinventing how developers debug production code using AI. Their platform uses LLMs to automatically identify, explain, and resolve software errors — saving engineering teams hours of frustration.

They’re now hiring an AI Engineer to help scale their core intelligence layer.

What You’ll Do:

Design and build AI systems that understand and diagnose real-world code errors.
Train and fine-tune LLMs to generate human-level explanations and automated fixes.
Work directly with the founding team to ship high-impact features fast.
Tackle challenging problems at the intersection of software engineering and machine learning.

Ideal Background:

Strong experience with large language models (e.g., OpenAI, Claude, CodeLlama).
Proficiency in Python and modern ML tooling (e.g., PyTorch, Transformers).
Experience building AI-driven developer tools or interest in the DevEx space.
Mix of FAANG and Start-up experience

📍San Francisco - On Site | 💼 Small, well-funded team | 🚀 Early-stage with product-market fit

Interested? Let’s chat — this is a rare opportunity to shape a transformative AI product from the ground up.

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