Sr AI Engineer

📋 Description

• Design, build, and maintain a scalable, reliable, and cost-effective AI platform in the cloud.
• Collaborate with Research to understand model requirements and translate them into scalable
• Improve data pipelines, feature storage, experiment tracking, and model lifecycle workflows.
• Build tooling that accelerates experimentation, benchmarking, and reproducibility.
• Implement monitoring, observability, and reliability improvements across AI services.
• Participate in architectural discussions and contribute to long-term platform strategy.

🎯 Requirements

• 5+ years of experience in product-minded software engineering, ML platform engineering, or
• Proven track record of delivering ML solutions that drive measurable business and customer impact.
• Strong programming experience in a language suitable for ML such as Python
• Understanding of distributed systems, microservices, and cloud-native architectures.
• Experience with SQL databases (query optimization, database performance tuning, and schema design).
• Experience with ML tooling (e.g., experiment tracking, model registries, data pipelines).

🎁 Benefits

• We train and deploy our own models: Proprietary T-LLM architectures, designed and trained in-house
• Transaction volume that brings interesting scaling challenges in the cloud.
• Real ownership, short path to customers: You frame the problem, choose the method, and see it
• Global impact: Technology used every day by companies around the world.
• Experiment-driven culture: Pragmatic delivery, and quarterly recognition for standout research
• Compute and tools: Frontier LLMs on tap for your own work, and our high-end GPU and large-memory