COMPANY A1
AI Engineering
FullStackEngineer,AISystems
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Full Stack Engineer, AI Systems at COMPANY A1. Skills: Full stack engineering, AI systems, Agent workflows, LLM integration. Build end-to-end product features. Design agent workflows”
What You'll Achieve.
Ship AI-native product features; Design agent workflows; Deploy agent workflows; Reduce latency; Improve responsiveness; Maintain output quality; Build fallback mechanisms; Build recovery mechanisms; Improve success rate; Improve reliability; Establish patterns; Establish abstractions; Integrate LLMs; Integrate memory; Integrate external tools; Contribute to AI experience
Industry & Context.
Handle ambiguity; Make pragmatic decisions
What They're Looking For.
Must Have
Full stack engineering experience, Solid understanding of system design, Solid understanding of API architecture, Experience working with LLMs, Experience working with RAG systems, Experience working with AI-powered applications, Ability to handle ambiguity, Make pragmatic engineering decisions, Ownership, Comfort working in fast-moving environments, Comfort with evolving requirements
Nice to Have
Experience in full stack engineering (frontend + backend)
What You'll Do.
Build end-to-end product features
Design agent workflows
Integrate external tools
Design real-time AI interactions
Improve system reliability
Improve system observability
Improve fallback mechanisms
Collaborate with ML teams
Collaborate with backend teams
Collaborate with product teams
Ship features end-to-end
Iterate based on usage
Iterate based on failure modes
How You'll Work.
Team & Collaboration
ML teams; Backend teams; Product teams
Full Job Description
COMPANY A1 is building a proactive AI smart assistant for everyday users to bring intelligence to conversations, errands, organising and workflows. Our product focuses on achieving high reliability for long-running workflows, persistent context, and real-world task completion. The system must handle multi-step reasoning, interact with external tools, and remain reliable despite non-deterministic model behavior. ROLE We are looking for a Full Stack Engineer - AI Systems to build the product layer that turns these capabilities into usable, production-grade workflows. This includes designing how agents operate, fail, recover, and deliver consistent value to users. FOCUS - 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 IDEAL EXPERIENCES - 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 OUTCOMES - Own and ship AI-native product features that move beyond chat into persistent, goal-driven workflows - Design and deploy agent workflows that reliably complete multi-step tasks across tools and sessions - Reduce latency and improve responsiveness of AI interactions while ma
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