LLM Application Engineer

About the role

ActAI is building proactive, AI‑native applications that simplify everyday tasks. As an LLM Application Engineer you will create the intelligence layer that powers these experiences, turning model outputs into reliable, user‑friendly workflows.

Key responsibilities

• Design and ship LLM‑powered applications and agent workflows, including reasoning, planning, memory and tool use.
• Build orchestration pipelines that convert probabilistic model outputs into predictable, observable, and safe actions.
• Integrate LLMs with APIs, databases, search services, internal systems and external tools.
• Develop prompting, context engineering, structured outputs and tool‑calling techniques to improve model behaviour.
• Create evaluation frameworks and datasets to measure AI quality, reliability and regressions.
• Debug AI systems across the stack—from model behaviour and prompts to backend services and product UX.

Required profile

• Strong software engineering fundamentals with experience building AI‑powered applications.
• Hands‑on experience with LLMs, generative AI or agent‑based systems.
• Ability to design prompts, workflows, evaluations and improve AI behaviour.
• Comfortable working across abstraction layers (model → system → product) in fast‑moving environments.

Required skills

• Python
• LLM APIs and model providers (including OpenAI‑compatible and open‑weight models)
• Agent frameworks and orchestration systems
• Vector databases and retrieval systems
• Backend services, APIs and distributed systems
• PyTorch / JAX