Full Stack Engineer, AI systems

The role

This person will build the product layer to turn AI capabilities into production-grade workflows. They will design agent workflows, integrate LLMs, and build end-to-end product features across frontend, backend, and AI integrations.

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
• Continuously iterate based on real usage and failure modes
• Own and ship AI-native product features
• Design and deploy agent workflows that 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
• 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

Nice to have

• Experience working with LLMs, RAG systems, or AI-powered applications

About the company

Actai aims to build proactive applications for anyone in the world with minimal to no prompting. Their first application is an agent-first mobile communication app.