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    CY

    Cygnify

    Full Stack Developer (AI)

    Singapore, SingaporeOn-SiteFull-timePosted 1mo ago
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    Job description

    Full Stack Engineer – AI
    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 maintaining output quality

    • Build robust fallback and recovery mechanisms for LLM and tool failures in production environments

    • Improve the success rate and reliability of AI-driven workflows through iteration, evaluation, and monitoring

    • Establish patterns and abstractions for integrating LLMs, memory, and external tools into scalable product systems

    • Contribute to a product experience where AI feels proactive, consistent, and dependable over time

    Tech Stack

    • Next.js

    • Python

    • NodeJs

    • Pytorch

    • OpenAI / Anthropic / open-source LLMs

    • SQl & noSQL

    • Kubernetes

    • Docker

    Job details are sourced from the employer's original posting.

    Open job posting
    CY

    About the company

    Cygnify

    Cygnify is a company whose specific business could not be verified from the provided input.

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