Full Stack Engineer, AI systems

The role

The Full Stack Engineer - AI Systems will build the product layer to turn capabilities into production-grade workflows. This includes designing how agents operate, fail, recover, and deliver value to users.

What you will do

• Build end-to-end product features across frontend, backend, and AI integrations
• Design agent workflows that handle planning, tool use, failure, and recovery
• Integrate LLMs, memory, and external tools into systems
• Design real-time AI interactions with streaming and tight latency constraints
• Improve system reliability, observability, and fallback mechanisms
• Collaborate closely with ML, backend, and product teams to ship features end-to-end
• Continuously iterate based on real usage and failure modes
• Own and ship AI-native product features
• Design and deploy agent workflows that reliably complete multi-step tasks
• Reduce latency and improve responsiveness of AI interactions

Required qualifications

• Strong experience in full stack engineering (frontend + backend)
• Solid understanding of system design and API architecture
• Experience working with LLMs, RAG systems, or AI-powered applications
• Ability to handle ambiguity and make pragmatic engineering decisions
• Strong ownership - able to take features from idea to production
• Comfort working in fast-moving environments with evolving requirements

About the company

Actai aims to build proactive applications for anyone in the world who is not used to complex prompting. The mission is to bring intelligence to conversations, errands, organising and workflows.