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4 дня назад

AI Lead Engineer

Формат работы
hybrid
Тип работы
fulltime
Грейд
lead
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
AI Lead Engineer (AWS/Agentic AI): Building and evolving Very's cloud-native Agentic AI platform, including frontend tooling, AI gateways, and backend LLM integrations, with an accent on reliability, security, scalability, and technical ownership. Focus on designing enterprise-scale AWS and Terraform foundations, driving platform architecture and DevSecOps, and solving complex observability, cost optimization, and technical risk challenges.

Location: Liverpool, England, United Kingdom; flexible hybrid working model

Company

hirify.global operates the Very digital retail platform, delivering products and experiences for millions of customers.

What you will do

  • Design, build, and evolve the Agentic AI platform across frontend tooling, AI gateways, and backend LLM integrations.
  • Own AI platform architecture, technical decisions, engineering standards, system design, code reviews, and technology spikes.
  • Own platform SLAs, metrics, monitoring, root-cause investigations, technical risk, and technical debt.
  • Translate requirements into prioritized technical deliverables with the AI Technical Product Owner.
  • Improve GitLab CI/CD pipelines and promote DevSecOps, security, reliability, and cost-efficient cloud operations.
  • Coach engineers from junior to senior levels and collaborate with architects and engineering managers on the technology roadmap.

Requirements

  • Experience in a Senior or Principal AWS Platform Engineering role.
  • Expert-level, hands-on Terraform and Infrastructure as Code development.
  • Hands-on experience designing, building, and maintaining Agentic AI platforms, including frontend tooling, AI gateways, and LLM backend integrations.
  • Expert AWS knowledge covering VPC, EC2, ECS, ECR, Fargate, S3, Route 53, RDS, DynamoDB, API Gateway, Lambda, Transit Gateway, EBS, EFS, AWS Config, and the AWS CLI.
  • Strong GitLab CI pipeline development and administration skills; GitLab administration experience is advantageous.
  • AWS security tooling experience, a security-first mindset, excellent Linux administration skills, and development experience in Python and/or other languages.
  • Experience defining best practices, technical standards, and platform designs at enterprise scale.
  • Strong communication skills, the ability to explain complex ideas to technical and non-technical stakeholders, and extensive internal and external stakeholder management experience.
  • Thorough knowledge of AWS cost optimization and efficient cloud infrastructure operations.

Culture & Benefits

  • Flexible hybrid working model and an inclusive environment.
  • £6,500 flexible benefits allowance, 30 days of holiday plus bank holidays, and matched pension contributions up to 6%.
  • LinkedIn Learning access, performance- and business-related bonus potential, and up to 25% discount on Very.co.uk.
  • Successful candidates must complete credit, CIFAS, Right to Work, and, where specifically required, DBS checks.

Hiring process

  • Talent acquisition screening followed by CV review by the hiring manager if progressed.
  • One-stage process: a one-hour face-to-face interview with the hiring team covering relevant experience and competency questions.
  • Reasonable adjustments are available; candidates should disclose relevant information before required checks are undertaken.

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