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Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Чёткая техническая ответственность, разработка AI-платформы с нуля и сильный пакет льгот делают роль значимой, но широкий круг задач и высокие требования к практическому опыту в Agentic AI сужают круг подходящих специалистов.
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Современный стек
Платформа с нуля
Щедрый пакет льгот
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Описание вакансии
Текст:
Hirify AI/Оригинал
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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