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8 дней назад

Platform Engineer II (AI)

Формат работы
hybrid
Тип работы
fulltime
Грейд
middle
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
Platform Engineer II (AI): Building AI data agents, modular agent skills, evaluation systems, and scalable integrations for an enterprise knowledge catalog, knowledge graph, unified data pipelines, and BigQuery ecosystem with an accent on intelligent automation and data accessibility. Focus on designing reliable agent workflows, evaluating factual consistency, integrating AI capabilities with core data platforms, and developing reusable tooling in Python and Java.

Location: Hybrid, Belfast - Millennium House, United Kingdom

Company

hirify.global operates a global derivatives marketplace and develops technology for financial markets.

What you will do

  • Design, build, and deploy AI data agents that query and navigate the enterprise knowledge graph, data catalogs, and analytics systems.
  • Develop modular Agent Skills for data retrieval, transformation, and analytical tasks.
  • Design and implement Agent Evals to test agent reliability, accuracy, and factual consistency.
  • Build intelligent integrations and reusable tooling for unified data pipelines and BigQuery.
  • Collaborate with data engineers to ingest, curate, and expand the enterprise knowledge catalog and knowledge graph.
  • Use Claude, Anti Gravity, and GitHub Copilot to accelerate technical delivery and code generation.

Requirements

  • Bachelor’s degree, preferably in Computer Science, Information Systems, or a related discipline, plus 1+ years of relevant hands-on engineering experience.
  • Proficiency in Python and Java.
  • Experience developing Agent Skills and building Agent Evals.
  • Experience using Claude, Anti Gravity, and GitHub Copilot in the software development lifecycle.
  • Ability to work proactively in a team environment and meet delivery timelines.

Nice to have

  • Experience with knowledge graphs, enterprise data catalogs, semantic data models, and data pipelines.
  • Hands-on experience building AI agents with Google ADK and LangChain.
  • Hands-on experience with Google Cloud Platform and deep knowledge of BigQuery.
  • Experience with GitOps practices and deploying applications to Kubernetes.
  • Experience with Gemini, Anthropic, or GPT models.
  • Experience with other major cloud providers, including AWS or Azure.

Culture & Benefits

  • Hybrid working.
  • Bonus, equity, and employee stock purchase programmes.
  • Private medical and dental coverage, mental health benefits, group pension, income protection, and life assurance.
  • Family leave, education assistance, and ongoing employee development training and certification.
  • Cycle to Work, EV Car Benefit Scheme, and gym membership.

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