Applied AI Engineer

The role

You will turn model capabilities into real product behavior. You will build AI features end-to-end, design agent workflows, and optimize for production reliability.

What you will do

• Build and ship AI features end-to-end
• Design and iterate on prompts, tools, memory, and agent workflows
• Turn raw model outputs into structured, reliable, and predictable behaviors
• Debug issues across the full stack
• Optimize for latency, cost, and production reliability
• Develop lightweight evaluation frameworks
• Work closely with product and engineering to translate ambiguous problems into working systems

Required qualifications

• Python
• PyTorch / JAX
• LLMs (OpenAI-style APIs, LLaMA, Qwen, etc.)
• Inference / serving (e.g. vLLM)
• Vector DB
• Strong foundation in machine learning and modern 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 (model to infra to product)
• Strong problem-solving skills in ambiguous, fast-moving environments
• Bias toward shipping, iteration, and continuous improvement

About the company

Actai aims to build proactive applications for anyone in the world with minimal to no prompting. Their first application is an agent-first mobile communication app.