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9 часов назад

Senior AI Platform Engineer (AI)

Формат работы
onsite
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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TL;DR

Senior AI Platform Engineer (AI): Designing and scaling the foundation for next-generation AI/ML capabilities, including real-time inference and GenAI applications, with an accent on MLOps pipelines and feature infrastructure. Focus on building agentic AI architectures, optimizing LLM orchestration, and ensuring production-grade reliability at enterprise scale.

Location: London, United Kingdom

Company

hirify.global is the world's leading B2B travel platform redefining the future of business travel through AI-powered products and data-driven intelligence.

What you will do

  • Architect and evolve the AI platform, designing scalable infrastructure for model training, deployment, and monitoring.
  • Lead GenAI initiatives, building tooling for LLM orchestration, RAG pipelines, and evaluation frameworks.
  • Drive MLOps maturity by owning CI/CD for ML models, automated retraining, and drift monitoring.
  • Develop and maintain feature stores and data pipelines for low-latency online and offline ML use cases.
  • Mentor junior and mid-level engineers through code reviews and architecture discussions.
  • Collaborate cross-functionally with data scientists and product managers to translate business requirements into platform capabilities.

Requirements

  • 8+ years of software engineering experience, with 3+ years focused on ML/AI platform or MLOps engineering.
  • Strong proficiency in Python and/or Java and experience operating production AI systems.
  • Hands-on AWS expertise (Bedrock, SageMaker, EKS, S3) and proficiency with Kubernetes and Terraform.
  • Practical experience with ML orchestration tools such as MLflow, Kubeflow, or Airflow.
  • Working knowledge of LLM integration patterns, including RAG, function calling, and prompt engineering.
  • Demonstrated experience designing agentic systems and multi-agent orchestration frameworks (e.g., LangGraph, AutoGen).

Nice to have

  • Master's degree in Computer Science, Engineering, or an equivalent field.
  • Familiarity with specific feature stores like Feast or Tecton.

Culture & Benefits

  • Flexible benefits including health and welfare insurance, retirement programs, and wellbeing resources.
  • Exclusive travel perks with weekly deals on flights, hotels, and car rentals.
  • Extensive professional development with access to over 20,000 learning courses.
  • Inclusive environment with global Inclusion Groups to support diverse identities.
  • Collaborative culture where individual voices are valued and encouraged.

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