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23 часа назад

Forward Deployed Engineer (AI Engineer)

90 000 - 115 000GBP
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

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TL;DR
Forward Deployed Engineer (AI Engineer) (Production LLM Systems): Building and deploying dependable Python software that integrates LLMs into customer-facing systems and business workflows with an accent on production engineering, evaluation, safety, and operational reliability. Focus on taking prototypes and data science models into production, designing guarded LLM pipelines, and creating shared tooling for scalable AI delivery.

Location: London, hybrid

Salary: £90,000–£115,000 per annum

Company

A well-established UK business in a regulated sector is building a dedicated engineering team to move AI initiatives from experimentation into dependable production systems.

What you will do

  • Partner with business teams to define, design, build, and deploy solutions for operational problems.
  • Take AI projects from prototype through stable production and establish clear ownership.
  • Build Python pipelines combining deterministic processing with LLM calls.
  • Deploy data science models into customer-facing production, including serving and integration.
  • Implement evaluation, guardrails, monitoring, alerting, and cost controls for AI workloads.
  • Turn successful internal tools and recurring project patterns into shared tooling and safe defaults.

Requirements

  • 5+ years of software engineering experience with ownership of production systems.
  • Production experience building and shipping LLM-based systems.
  • Strong Python development skills and experience working with models through APIs.
  • Experience with orchestration, structured output, tool use, agents, and RAG.
  • Experience designing evaluation sets, measuring LLM accuracy, and regression-testing prompts and workflows.
  • Practical experience with PII handling, data boundaries, prompt-injection awareness, human-in-the-loop design, CI/CD, containerisation, monitoring, and data processing.

Culture & Benefits

  • Work directly with business and specialist engineering teams.
  • Build systems that are used by customers and internal teams.
  • Help establish production AI engineering practices and retain specialist knowledge in-house.
  • Permanent hybrid working arrangement in London.

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