🛠 Tech Stack

💼 About This Role

You'll own the end-to-end architecture of our product and research stack, scaling and leading Product Engineering, Infrastructure, and Inference teams. You'll partner closely with Product, Research, and Leadership to translate strategy into reliable, scalable systems for agentic AI. This is an early role at a fast-growing AI startup shaping the future of superintelligence.

🎯 What You'll Do

• Own, review, and challenge end-to-end architecture of product and research stack.
• Scale and lead Product Engineering, Infrastructure, and Inference teams.
• Partner with Product, Research, and Leadership to translate strategy into scalable systems.

📋 Requirements

• Proven track record building and scaling a production SaaS platform.
• Strong hands-on experience with AWS, Docker, Kubernetes, Redis, and modern observability tooling.
• Exposure to MLOps, large-scale model training, inference systems, or LLM-based reinforcement learning.
• Experience operating multi-tenant systems with high reliability, security, and performance.

✨ Nice to Have

• Experience orchestrating compute-intensive workloads (training and/or large-scale inference).
• Familiarity with workflow orchestration platforms.

🎁 Benefits & Perks

• 🚀 Join a hot AI startup shaping the future of AI.
• 🌍 Multicultural team working alongside world-class AI talent.
• 💰 Competitive salary.
• 📈 Opportunities for professional growth and career development.