COMPANY A1
AI
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.
Own and ship AI-native product features; Design and deploy agent workflows; Reduce latency and improve responsiveness; Build robust fallback and recovery mechanisms; Improve the success rate and reliability; Establish patterns and abstractions; Contribute to a product experience
Industry & Context.
multi-step reasoning; failure recovery; fallback mechanisms
What They're Looking For.
Must Have
full stack engineering (frontend + backend), system design, API architecture, handle ambiguity, make pragmatic engineering decisions, ownership, take features from idea to production, working in fast-moving environments, evolving requirements
Nice to Have
LLMs, RAG systems, AI-powered applications
What You'll Do.
Build end-to-end product features
Design agent workflows
Design real-time AI interactions
Improve system reliability
Collaborate with teams
Iterate based on usage
How You'll Work.
Team & Collaboration
Collaborate closely with ML, backend, and product teams; make decisions collectively
Process & Methodology
take features from idea to production, execute independently
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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