🛠 Tech Stack

💼 About This Role

You'll build and ship AI features end-to-end, turning model capabilities into real product behavior. You'll own problems from shaping model behavior to production reliability. This role sits at the intersection of ML, systems, and product, making AI work for users in real-world usage.

🎯 What You'll Do

• Build and ship AI features end-to-end.
• Design and iterate on prompts, tools, and agent workflows.
• Debug issues across model, orchestration, infra, and UX.
• Optimize for latency, cost, and production reliability.

📋 Requirements

• Strong foundation in ML and neural network architectures.
• Hands-on experience with training, fine-tuning, or deploying ML models.
• Ability to write clean production-quality code.
• Comfort working across abstraction layers from model to infra.

✨ Nice to Have

• Experience with LLMs like OpenAI-style APIs, LLaMA, Qwen.
• Familiarity with inference/serving tools like vLLM and vector DBs.

🎁 Benefits & Perks

• 🌍 Remote-first work with flexibility.
• 🚀 Small world-class team environment.
• 📈 Rapid iteration and learning.

📨 Hiring Process

Estimated timeline: 2-4 weeks · AI estimate

1. 1Application and resume review· 1-2 weeks
2. 2Technical interviews (3-4 rounds)· 3-4 weeks
3. 3Offer decision· 1 week