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обновлено 25 дней назад

Staff Engineer (AI/Data)

Формат работы
remote (только Europe)
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Europe
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
Staff Engineer (AI/Data): Defining and governing data architecture across OLTP, OLAP, analytics, and AI foundations for a school management product suite with an accent on cloud-native distributed systems, DataOps, and AI-first engineering. Focus on architecting LLM orchestration, Retrieval-Augmented Generation, and real-time model inference at scale while influencing product and engineering direction across multiple teams.

Location: Remote

Company

hirify.global develops MIS and school management tools used by more than 12,000 schools and trusts, with a data platform and AI-driven product features.

What you will do

  • Define target architectures connecting transactional, analytical, and AI systems across Arbor’s product suite.
  • Lead the end-to-end data lifecycle, including OLTP schema design, migrations, OLAP governance, platform engineering, and analytics.
  • Guide Technical Leads on feature delivery, technical debt reduction, architecture improvements, and engineering quality.
  • Translate product vision into technical deliverables and align commercial, product, and engineering goals.
  • Architect infrastructure for LLM orchestration, Retrieval-Augmented Generation, and real-time model inference at scale.
  • Mentor technical leaders, lead architectural reviews, and contribute to broader technology strategy, reliability, security, and compliance.

Requirements

  • Extensive experience leading data architecture and delivering iterative outcomes across OLAP domains.
  • Strong knowledge of data modelling, distributed cloud-native systems, and platforms such as Snowflake.
  • Experience with unstructured data, DataOps, CI/CD for data, complex pipeline orchestration, AWS, Debezium, Git, and infrastructure as code.
  • Ability to influence technical and non-technical stakeholders and support engineers and Technical Leads across distributed teams.
  • Practical knowledge of data security, encryption, compliance, observability, performance, and SaaS platform cost optimisation.
  • Understanding of AI-first engineering and experience contributing to technical communities of practice.

Nice to have

  • AI/ML engineering and MLOps experience, including model deployment, serving, and monitoring.
  • Experience with federated learning, privacy-enhancing technologies, or LLM operations.
  • Prompt engineering at scale and token cost optimisation experience.

Culture & Benefits

  • Flexible working arrangements for all roles.
  • 32 days of holiday plus Bank Holidays.
  • Wellbeing support, including a virtual GP, mental health support, counselling, and personalised health checks.
  • Private dental insurance, pension, life assurance, and enhanced maternity, adoption, and paternity leave.
  • Professional development budget, charity volunteering day, social committees, and dog-friendly offices.

Hiring process

  • Phone screen.
  • First-stage interview.
  • Second-stage interview.

Visa sponsorship is not available.

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