LLM Application Engineer

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A1There 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.

About the RoleAs an LLM Application Engineer, you will build the intelligence layer that powers A1's AI experiences.

You will work at the intersection of LLMs, software engineering, and product - designing agent workflows, improving model behaviour, and turning AI capabilities into reliable user experiences.

You will own problems end-to-end, from understanding user needs, designing Agentic workflows, integrating models and tools, building evaluation system and continuously improving AI behaviour in production.

FocusBuild and ship LLM-powered applications and AI agent workflowsDesign systems for reasoning, planning, memory, tool uuse and multi-step executionBuild reliable orchestration pipelines that turn probabilistic model outputs into predictable, observable, and safe actionsIntegrate LLMs with APIs, databases, search, internal services, and external tools.

• Develop prompting, context engineering, structured outputs, tool-calling, and other techniques to improve model behaviourBuild evaluation frameworks and datasets to measure AI quality, reliability, and regressionsDebug AI systems across the entire stack—from model behaviour and prompts to orchestration, backend services, and product UXOptimise AI systems for quality, latency, and costWork closely with product and engineering teams to turn ambiguous product problems into working.