Company A1 is building a proactive AI smart assistant for everyday users to bring intelligence to conversations, errands, organising and workflows. Overview 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. 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 Tech Stack Python PyTorch / JAX LLMs (OpenAI-style APIs, LLaMA, Qwen, etc.) Inference / serving (e.g. vLLM) Vector DB Ideal Experience 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 Outcomes 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 How We Work 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. #J-18808-Ljbffr
