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Senior Fullstack AI Engineer

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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TL;DR

Senior Fullstack AI Engineer: Designing and building scalable, resilient, and maintainable backend systems with practical AI integration, with an accent on REST/GraphQL APIs, event-driven architectures, and distributed services. Focus on building AI-enabled systems from MVP to production-ready implementations, considering reliability, evaluation, security, and maintainability, while also contributing to frontend codebases when needed.

Location: Blended Working model requires presence at a company clubhouse or client site, which are located across the UK and Europe.

Company

hirify.global is a tech company focused on accelerating digital delivery and closing the digital skills gap, helping organizations build better digital products and stronger digital teams.

What you will do

  • Design and build scalable, resilient backend systems and APIs (REST/GraphQL, event-driven, distributed services).
  • Integrate AI into backend systems, building AI-powered workflows and solutions from MVP to production.
  • Shape architectural direction, review designs, and ensure high-quality engineering practices.
  • Take ownership of complex technical problems and make pragmatic decisions.
  • Contribute to frontend codebases as needed, with a primary strength in backend.
  • Advise clients on realistic AI opportunities and navigate practical value versus hype.

Requirements

  • Strong hands-on backend engineering experience with Java, Node.js, TypeScript, Python, or Go.
  • Proven ability to design and build scalable, resilient backend systems.
  • Hands-on experience with AWS (Lambda, ECS, DynamoDB, SQS/SNS, API Gateway, Step Functions) and strong understanding of cloud-native patterns.
  • Solid experience with Infrastructure as Code (Terraform preferred) and CI/CD pipelines.
  • Practical experience integrating AI into backend systems, including LLM- or RAG-based solutions.
  • Experience working in a consulting or client-facing environment.

Nice to have

  • Experience with high-scale distributed systems or event streaming (Kafka, Kinesis).
  • Exposure to serverless architectures, container orchestration, or hybrid cloud environments.
  • Familiarity with security best practices, including IAM, secrets management, and secure API design.

Culture & Benefits

  • "Blended Working" model allowing work from home, clubhouse, or client.
  • Opportunities to work on projects with big clients and produce meaningful work.
  • Dedicated career scrum team and annual budget for training and upskilling.
  • Monthly and quarterly team socials.
  • 25 days holiday allowance plus bank holidays.
  • £1000 flexifund for personalised benefits such as Gym membership, Cycle to Work Scheme, Health, dental, and optical cash plan.

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