LLM Application Engineer

Stack

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 and reliability
• ▹Debug AI systems across the entire stack—from model behaviour and prompts to orchestration, backend services, and product UX
• ▹Optimise AI systems for quality, latency, and cost

Requirements

• ▹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
• ▹Ability to write clean, production-quality code
• ▹Comfortable working across abstraction layers (model → system → product)
• ▹Strong problem-solving skills in ambiguous, fast-moving environments

Nice to have

• ▹Python
• ▹OpenAI-compatible APIs and open-weight models
• ▹Agent frameworks and orchestration systems
• ▹Vector databases and retrieval systems
• ▹PyTorch/JAX

Soft skills

About the company

A1's mission is to build a proactive smart assistant for everyday users, focused on high reliability for long-running workflows, persistent context, and real-world task completion.