🛠 Tech Stack

💼 About This Role

You'll design scalable evaluation frameworks for ML and GenAI systems, focusing on reliability and performance. You'll build observability and guardrails for production-grade AI platforms used in real-world applications. This role combines hands-on engineering with cutting-edge GenAI experimentation.

🎯 What You'll Do

• Design scalable systems for ML and GenAI development with observability.
• Build evaluation frameworks for ML and LLM-based systems.
• Develop APIs and services to expose AI models and evaluation pipelines.
• Write clean Python code and automated testing frameworks.

📋 Requirements

• 4+ years experience in Machine Learning Engineering.
• Strong proficiency in Python.
• Hands-on experience with AWS or equivalent cloud platforms.
• Experience with Generative AI and LLM-based application development.

✨ Nice to Have

• Experience with ML/LLM evaluation frameworks like RAGAS or DeepEval.
• Experience with Docker and Kubernetes.
• Awareness of Responsible AI or AI governance standards.

🎁 Benefits & Perks

• 🏖️ 100% remote work flexibility.
• 💰 Competitive salary in USD.
• 📆 2 weeks PTO and US holidays.
• ⏰ Full-time with CST alignment.
• 🚀 Cutting-edge GenAI projects.

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Recruiter call· 30 min
2. 2Technical interview· 60 min
3. 3Take-home assignment· 2 hours