Applied AI Engineer

Company
A1 is building a proactive AI smart assistant for everyday users to bring intelligence to conversations, errands, organising and workflows.

A1 is building a proactive AI smart assistant for everyday users to bring intelligence to conversations, errands, organising and workflows. Our product focuses on achieving high reliability for long-running workflows, persistent context, and real-world task completion. The system must handle multi-step reasoning, interact with external tools, and remain reliable despite non-deterministic model behavior.

• 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

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

• ML models in production meet expected accuracy, latency, and reliability targets
• Production issues are identified quickly, debugged effectively, and root causes addressed
• Data pipelines, training loops, and inference systems are robust, reproducible, and maintainable
• Collaborates effectively with engineers, product, and research teams to deliver reliable ML-powered features
• Iterations on models and systems are driven by real-world signals and measurable improvements

The best products today in the world were built by small, world-class teams. We make decisions collectively, move at rapid speed, striking a balance between shipping high quality work and learning. Joining our team requires the ability to bring structure, exercise judgment, and execute independently. Our goal is to put in users’ hands a truly magical AI product.