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5 часов назад

Applied AI Engineer

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

Текст:
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TL;DR
Applied AI Engineer (AI agent infrastructure, RAG, and multi-agent systems): Building and deploying production AI applications, backend services, APIs, and data pipelines with an accent on AI agent orchestration, retrieval-augmented generation, and evaluation frameworks. Focus on designing scalable and secure AI infrastructure, monitoring model performance, and integrating cloud, containerization, and CI/CD systems.

Location: London, United Kingdom

Company

hirify.global is an enterprise AI workflow platform that automates complex processes for major financial institutions and recently raised $75 million in a Series A round.

What you will do

  • Design, build, test, and deploy backend services and APIs using Python, Django, or FastAPI.
  • Develop and deploy production AI features, including RAG systems, multi-agent infrastructure, and evaluation frameworks.
  • Create data pipelines for AI model training, evaluation, and continuous improvement.
  • Contribute across frontend interfaces, backend APIs, databases, and deployment pipelines.
  • Ensure scalability, performance, reliability, and security across the stack.
  • Collaborate with founders, growth, design, and engineering teams while mentoring junior developers.

Requirements

  • 5+ years of professional software engineering experience.
  • Hands-on experience building and deploying AI applications in production.
  • Strong backend development skills, preferably with Python, and solid knowledge of relational databases.
  • Experience with Git, background workers, task queues such as Celery or RQ, and Redis.
  • Knowledge of cloud infrastructure, Docker, Kubernetes, and CI/CD pipelines.
  • Experience with RAG pipelines, AI agent orchestration, performance monitoring, and LLM evaluation techniques.

Culture & Benefits

  • Competitive salary and equity.
  • Direct collaboration with the founders.
  • Supportive and innovative work environment.
  • Opportunity to help shape an early-stage enterprise AI company.
  • Fast-changing priorities and challenging work requiring adaptability.

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