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2 часа назад

Forward Deployed Engineer (AI)

90 000 - 150 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): Designing, building, and deploying production-grade agentic AI systems for enterprise customer workflows with an accent on solution architecture, LLM integration, and deployment reliability. Focus on evaluating model behavior, hardening prototypes into reusable architectures, and solving complex production challenges across APIs, data systems, cloud infrastructure, and customer environments.

Location: Hybrid in the UK, based in London or Edinburgh, with customer travel shaped by deployment needs

Salary: £90K–£150K plus equity

Company

hirify.global is the deployment arm of OpenAI, delivering enterprise AI transformation and production AI systems for large organizations.

What you will do

  • Lead engineering workstreams for customer deployments, owning architecture, implementation quality, evaluation strategy, and production readiness.
  • Build AI applications, agents, and workflow tools using LLMs, retrieval, orchestration, APIs, data systems, and production software practices.
  • Lead technical discovery and translate customer workflows into reliable AI systems with technical teams and business stakeholders.
  • Guide engineers through ambiguous technical decisions, reviewing designs, code, trade-offs, and operating assumptions.
  • Prototype rapidly, identify reusable patterns, and harden successful solutions into reference architectures and implementation assets.
  • Design evaluation and monitoring approaches that improve quality, reliability, safety, and customer trust.

Requirements

  • Senior software engineering experience building production applications and microservices.
  • Experience with APIs, scalable data pipelines, data systems, and cloud infrastructure.
  • Strong Python and SQL skills for enterprise data applications.
  • Production LLM experience, including agents, retrieval, evaluation, fine-tuning, prompt engineering, and model integration.
  • Experience leading projects from prototype to production while maintaining high engineering standards.
  • Ability to write code, review designs, mentor engineers, and communicate clearly with executive, product, research, customer, and engineering audiences.

Culture & Benefits

  • Hybrid work in the UK with customer travel based on deployment needs.
  • Opportunity to work with the autonomy of a startup while delivering systems for large enterprises.
  • Work at the intersection of enterprise transformation, AI research, and scaled services delivery.
  • Compensation includes equity.

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