Applied AI Engineer

Stack

Responsibilities

• ▹Build and ship AI features end-to-end (model → system → user experience)
• ▹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 (model, orchestration, infra, UX)
• ▹Optimize for latency, cost, and production reliability
• ▹Develop lightweight evaluation frameworks to measure real-world performance
• ▹Work closely with product and engineering to translate ambiguous problems into working systems

Requirements

• ▹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 → infra → product)
• ▹Strong problem-solving skills in ambiguous, fast-moving environments
• ▹Bias toward shipping, iteration, and continuous improvement

Soft skills

About the company

The company (A1) is building a proactive smart assistant for everyday users, bringing intelligence to conversations, errands, organizing, and workflows with minimal prompting. The product focuses on reliability for long-running workflows, persistent context, and real-world task completion, aiming to cut users' daily task time by roughly 90%. The team is small, high-talent-density, and hands-on, making decisions collectively and moving at rapid speed.