Назад
Company hidden
12 часов назад

Senior AI Engineer

72 702 - 80 780GBP
Формат работы
hybrid
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
Senior AI Engineer (LLM/GenAI): Building and operating secure, scalable AI-powered customer experiences for conversational AI, AI Search, and personalised engagement with an accent on LLMs, Retrieval-Augmented Generation, agentic AI, and responsible AI. Focus on designing production AI systems, integrating models into enterprise services, and implementing evaluation, monitoring, governance, and MLOps practices.

Location: Bristol, United Kingdom; hybrid working with at least two days per week or 40% of working time at Bristol office sites

Salary: £72,702–£80,780 per year

Company

hirify.global is transforming financial services through investment in people, data, and technology for 28 million customers.

What you will do

  • Design, develop, test, and deploy LLM and agentic AI solutions.
  • Build and improve Retrieval-Augmented Generation, tool-use, evaluation, optimisation, and monitoring capabilities.
  • Apply software engineering, MLOps, and LLMOps practices to deliver reliable, scalable AI solutions.
  • Develop solutions across the lifecycle from experimentation and prototyping through production deployment and operational support.
  • Integrate AI capabilities into enterprise services and customer journeys with platform engineering teams.
  • Support Responsible AI, model governance, security, auditability, risk management, code reviews, and technical knowledge sharing.

Requirements

  • Proven experience engineering technology solutions in complex environments and supporting production operations.
  • Applied AI/ML and GenAI experience, including RAG, tool use, guardrails, evaluation, and agent-based solutions.
  • Experience with conversational AI platforms and customer-facing AI applications.
  • Experience with cloud platforms such as Google Cloud Platform, including Vertex AI, BigQuery, and Kubernetes.
  • Understanding of CI/CD, version control, software delivery best practices, and the software development lifecycle.
  • Ability to communicate technical concepts clearly and collaborate across multidisciplinary teams, with awareness of Responsible AI, governance, security, and operational requirements.

Culture & Benefits

  • Hybrid working with workplace adjustments available for colleagues with disabilities.
  • Up to 15% pension contribution and an annual performance-related bonus.
  • Share schemes, including free shares, and adaptable lifestyle benefits.
  • 30 days’ holiday plus bank holidays.
  • Wellbeing initiatives and generous parental leave policies.
  • Commitment to diversity, equity, inclusion, learning, development, and accessible recruitment.

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