LLM Application Engineer

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 to design agent workflows, improve model behaviour, and turn AI capabilities into reliable user experiences. You will own problems end-to-end, from understanding user needs to building evaluation systems and continuously improving AI behaviour in production.

Responsibilities

• Build and ship LLM-powered applications and AI agent workflows
• Design systems for reasoning, planning, memory, tool use 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, and tool-calling techniques
• Build evaluation frameworks and datasets to measure AI quality, reliability, and regressions
• Debug AI systems across the entire stack
• Optimise AI systems for quality, latency, and cost

Required skills

• Python
• LLM APIs
• Agent frameworks
• Vector databases
• Backend services
• Distributed systems
• PyTorch
• JAX

Qualifications

• Strong software engineering fundamentals with experience building AI-powered applications
• Hands-on experience with LLMs, generative AI, or agent-based systems
• Experience designing prompts, workflows, evaluations, or AI behaviour

About the Company

ActAI aims to build proactive, AI-native applications for users worldwide, focusing on intelligence for conversations, errands, and workflows. The company prioritizes high reliability for long-running workflows, persistent context, and real-world task completion to reduce hallucinations.