Full Stack Engineer, AI systems

About A1

There are over 5 billion users using basic applications today such email, notes, tasks that are not AI-native. Our mission is to build a proactive smart assistant for everyday users to bring intelligence to conversations, errands, organising and workflows, with minimal prompting.

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. Our objective is to help users complete tasks daily enjoyable with over ~90%* reduced time.

Role

We are looking for a Full Stack Engineer - AI Systems to build the product layer that turns these capabilities into usable, production-grade workflows. This includes designing how agents operate, fail, recover, and deliver consistent value to users.

Focus

• Build end-to-end product features across frontend, backend, and AI integrations

• Design agent workflows that handle planning, tool use, failure, and recovery across multiple steps.

• Integrate LLMs, memory, and external tools into systems that behave reliably under real-world conditions

• Design real-time AI interactions with streaming, partial results, and tight latency constraints

• Improve system reliability, observability, and fallback mechanisms

• Collaborate closely with ML, backend, and product teams to ship features end-to-end

• Continuously iterate based on real usage and failure modes

Ideal Experiences

• Strong experience in full stack engineering (frontend + backend)

• Solid understanding of system design and API architecture

• Experience working with LLMs, RAG systems, or AI-powered applications

• Ability to handle ambiguity and make pragmatic engineering decisions

• Strong ownership - able to take features from idea to production

• Comfort working in fast-moving environments with evolving requirements

Outcomes

• Own and ship AI-native product features that move beyond chat into persistent, goal-driven workflows

• Design and deploy agent workflows that reliably complete multi-step tasks across to