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Зарплата не указанаПередовые технологииЧёткая зона ответственностиХороший соцпакетAI в торговле
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Текст:
Hirify AI/Оригинал
TL;DR
Staff Software Engineer (AI): Building an AI-native conversational shopping experience for an agentic storefront with an accent on TypeScript, Node.js, distributed systems, and operational reliability. Focus on leading multi-team initiatives, solving cross-cutting architecture problems, and applying LLMs and AI coding tools while keeping systems scalable, secure, and maintainable.
Location: Hybrid in London, United Kingdom.
Company
hirify.global builds AI-native infrastructure for agentic commerce, connecting backend operations with storefront experiences for brands and merchants.
What you will do
Lead multi-quarter initiatives involving several engineering teams, from scoping through production.
Write exemplar code on critical paths and review designs while balancing quality, speed, reliability, and maintainability.
Define operational standards for monitoring, availability, scalability, security, release safety, and cost awareness; help lead serious incidents and implement follow-up fixes.
Lead tool evaluations and architecture migrations, making build-versus-buy decisions explicit.
Use AI coding tools thoughtfully, challenge AI-generated complexity, and maintain code health.
Own business outcomes and success metrics, mentor Senior Engineers and below, participate in senior-level interviews, and improve architecture documentation, decision records, and runbooks.
Requirements
Significant production software development experience, typically 8+ years, including leading complex cross-team initiatives.
Deep expertise in TypeScript/JavaScript and Node.js, including REST and/or GraphQL API architecture and distributed systems.
Comfort working outside a primary language and stack, with a T-shaped engineering profile.
Strong relational database, data modelling, and SQL skills, plus familiarity with NoSQL.
Experience designing reliable and scalable cloud systems, with solid CI/CD, observability, and incident-response practices.
Hands-on LLM or agentic-systems experience, or a record of quickly adopting and sensibly applying new technologies.
Daily use of AI coding tools, with judgment about when to trust them and when not to.
Excellent written and verbal communication, including explaining technical trade-offs in business terms to any audience.
Team-player mindset with strong ownership and responsibility for delivering work live and stable.
Nice to have
Experience with eCommerce systems and platforms.
Culture & Benefits
Flexible working with autonomy over how and where work is performed.
Competitive base salary reviewed regularly, stock options, pension contributions, and generous annual leave with public holidays and a birthday day off.
Private healthcare, wellness benefits, mental health support, and enhanced maternity and paternity leave.
Work abroad for up to four weeks per year.
Quarterly team offsite budget, Thursday happy hours, and Monday breakfasts.
Commitment to diversity, equality, and an inclusive culture with varied backgrounds, skills, and perspectives.
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