LLM Application Engineer

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ABOUT ACTAI

There are over 5 billion users using basic applications today such email, notes, tasks, calendar and they're not AI-native. Our mission is to build proactive applications for anyone in the world, who are not used to complex prompting. We aim to bring intelligence to conversations, errands, organising and workflows, with minimal to no prompting.

Our first application is an agent-first mobile communication app. We believe building applications that users use daily for communication, coordination and collaboration needs will help integrate AI into their lives. The net effect is to eliminate misinformation, achieve low coordination costs, enable high quality tasks and collaboration at scale with minimal or little prompting.

ABOUT THE ROLE

As an LLM Application Engineer, you will build the intelligence layer that powers ActAI'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.

FOCUS

• Build and ship LLM-powered applications and AI agent workflows

• Design systems for reasoning, planning, memory, tool uuse and multi-step execution

• Build reliable orchestration pipelines that turn probabilistic model outputs into predictable, observable, and safe actions

• Integrate LLMs with APIs, databases, search, internal services, and external tools.

• Develop prompting, context engineering, structured outputs, tool-calling, and other techniques to improve model behaviour

• Build evaluation frameworks and datasets to measure AI quality, reliability, and regressions