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Senior Full-Stack Engineer

26 дн. назад

Коротко

Owns full-stack product areas end-to-end, building applications with modern web stack and AI-assisted workflows. · Needs: Required: 5+ years commercial software, architecture, code review, modern web stack (JS framework, Node/Python, SQL/NoSQL, APIs, cloud), secure development

Описание от работодателя

A product team that works in short delivery cycles and relies heavily on AI tooling throughout the development process. We need a senior engineer who is comfortable owning a product area end-to-end and who already works this way day to day — not someone who is curious about it. Scope of work • Design and ship complete applications: frontend, backend, data layer, APIs, deployment • Make architectural calls and keep them pragmatic • Set engineering conventions and quality standards for the team • Run code reviews and give technical direction • Build product features on top of LLMs: semantic search, document handling, summarisation, process automation, agent-style flows • Apply AI assistants across your own workflow — writing, debugging, testing, refactoring, documenting • Own authentication, authorisation, API security, data protection, and careful review of AI-generated code • Judge correctly when something is a throwaway prototype and when it must be production-grade • Hand over cleanly to the integration team when work moves to production Must have • 5+ years building software commercially • Comparable track record in application architecture, setting team conventions, reviewing code, and running projects independently from start to finish • Solid modern web stack: a major JS framework plus Node or Python, relational and non-relational storage, API design, cloud deployment • Practical experience with modern hosting and backend-as-a-service platforms • Strong grounding in secure development • Active daily use of AI coding assistants — this is central to the role, not a bonus • Recent work samples (last 2–3 months) of products built with AI assistance — links, repos, or demos • Clear judgement on prototype vs production quality Nice to have • Background in operations-heavy products • Experience moving AI-assisted prototypes into live systems • Hands-on with LLMs, retrieval pipelines, agents, or automation tooling