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1 день назад

Principal Engineer (AI)

Формат работы
remote (только United_kingdom)/hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
UK
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR
Principal Engineer (AI): Designing and guiding full-stack systems for consultancy clients with an accent on architecture, distributed systems, cloud infrastructure, data platforms, and AI-enabled engineering. Focus on reviewing AI-generated work, building evaluation and reliability guardrails, making commercially sound technical decisions, and raising engineering standards across client teams.

Location: United Kingdom; flexible hybrid and remote options, with on-site work at client sites and occasional travel to client sites or hirify.global offices.

Company

hirify.global is a software consultancy delivering engineering work for enterprise and scale-up clients.

What you will do

  • Define architectures, specifications, technical decisions, and review standards for production systems.
  • Use AI tools and context engineering to accelerate delivery while maintaining quality, security, evaluation, and reliability guardrails.
  • Design and improve distributed backend systems, APIs, cloud infrastructure, data pipelines, governance, lineage, vector stores, embeddings, and full-stack platforms.
  • Apply system thinking, commercial judgement, and clear technical reasoning in consultancy and client environments.
  • Communicate decisions through documents, design notes, and post-mortems; mentor engineers in technical and AI fluency.
  • Build trusted in-person relationships with clients and work on-site when required.

Requirements

  • Exceptional engineering capability with depth in at least one technical area and competence across the full stack.
  • Strong architecture, engineering foundations, communication, system thinking, and technical judgement.
  • Practical understanding of distributed systems, eventual consistency, queues, durable APIs, and thoughtful data modelling.
  • Cloud experience with cost and security awareness, infrastructure as code, and composition of cloud primitives.
  • Understanding of modern data pipelines, governance, lineage, vector stores, embeddings, and data quality.
  • Ability to build good-enough web and mobile front ends and understand the platform as one system.
  • Fluency with AI-assisted engineering, including context engineering, tool selection, code review, evals, golden datasets, structured outputs, and fallback paths.
  • Consulting, commercial, and political judgement; ability to explain technical outcomes to COO, CTO, CIO, and CEO stakeholders.
  • Clear communication, independent decision-making, mentoring ability, financial responsibility, constructive disagreement, and willingness to work in client environments on-site.

Culture & Benefits

  • Flexible working with hybrid and remote options.
  • Occasional travel to client sites or hirify.global offices in Edinburgh, Leeds, Manchester, London, and Bulgaria.
  • Flexibility over rigid rules, with focus on impact rather than activity.
  • Investment in professional and personal growth.
  • Supportive, friendly, diverse culture with adjustments and support available during the application process.

Hiring process

  • Call with the Talent Acquisition Team.
  • Role-specific capability interview.
  • Depending on the role, a short presentation, practical or technical task, or values-focused conversation may be required.

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