Backend Engineer, AI (Agent Systems)

About the role

ActAI builds proactive, agent-first applications that bring intelligence to everyday communication, errands, organisation and workflows with minimal prompting. As a Backend Engineer, AI, you own the inference and orchestration layer behind every AI interaction, working between models and users where latency, correctness, reliability and cost matter. You will build and operate production systems that turn model capability into fast, stable, observable APIs used across mobile and desktop clients.

Key responsibilities

• Build and operate backend systems serving AI-powered features in production.
• Design inference pipelines, orchestration layers and service boundaries around models.
• Own production concerns: monitoring, logging, alerting and incident response.
• Optimise latency and throughput across inference, caching, batching and streaming.

Required profile

• Strong backend engineering fundamentals in production environments.
• Experience running high-throughput, low-latency services.
• Familiarity with AI inference patterns (LLMs, embeddings, multimodal).
• Comfortable debugging distributed systems under load.
• Bias toward shipping and learning from production behaviour.

Required skills

• Python and Node.js
• PyTorch
• OpenAI, Anthropic and open-source LLMs
• SQL and NoSQL
• Kubernetes and Docker

The interview process involves 3 to 4 virtual or onsite interviews, evaluated by the technical team, with a prompt decision once a fit is found.