Full Stack Engineer, AI systems

Stack

Responsibilities

• ▹Build end-to-end product features across frontend, backend, and AI integrations
• ▹Design agent workflows that handle planning, tool use, failure, and recovery across multiple steps
• ▹Integrate LLMs, memory, and external tools into systems that behave reliably under real-world conditions
• ▹Design real-time AI interactions with streaming, partial results, 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

Requirements

• ▹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

Soft skills

About the company

The company (A1) is building a proactive smart assistant for everyday users, bringing intelligence to conversations, errands, organizing, and workflows with minimal prompting. The product focuses on reliability for long-running workflows, persistent context, and real-world task completion, aiming to cut users' daily task time by roughly 90%. The team is small, high-talent-density, and hands-on, making decisions collectively and moving at rapid speed.