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5 дней назад

Forward Deployed Engineer (AI)

75 000GBP
Формат работы
remote (только United_kingdom)/onsite
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
Forward Deployed Engineer (AI): Building and deploying agentic platforms and scalable AI-driven solutions in client environments with an accent on LLM orchestration, multi-agent systems, and enterprise integration. Focus on designing RAG pipelines, configuring Kubernetes deployments, and deploying architectures across cloud, on-premise, and hybrid environments.

Location: Candidates must be based in the UK; frequent travel to client sites within Europe is required, with travel expenses covered.

Salary starts from £75,000 annually, plus bonus and benefits.

Company

hirify.global is an independent team of data and AI experts, engineers, and designers building intelligent digital solutions and AI-enabled capabilities for enterprise clients.

What you will do

  • Build, implement, and deploy agentic platforms within client environments.
  • Develop scalable AI-driven solutions that operationalise LLM-powered agents across products, processes, and teams.
  • Work with client stakeholders, technical leaders, and delivery teams to roll out agentic capabilities integrated with enterprise systems and frameworks.
  • Architect LLM orchestration and implement multi-agent systems with tool use, workflow orchestration, memory, and decision-making.
  • Design and deploy RAG pipelines using enterprise data sources and integrate platforms with APIs, data platforms, cloud services, and enterprise applications.
  • Configure Kubernetes and deploy workloads across cloud, on-premise, and hybrid environments.

Requirements

  • Significant experience delivering at Senior Engineer level; Senior Engineers typically have at least 8 years of commercial experience.
  • Experience designing and building agentic platforms using Python and modern AI frameworks.
  • Experience with LLM orchestration frameworks such as LangGraph, CrewAI, AutoGen, and related technologies.
  • Experience implementing multi-agent systems supporting tool use, workflow orchestration, memory, and decision-making.
  • Experience designing and deploying Retrieval-Augmented Generation pipelines integrating enterprise data sources.
  • Experience integrating agentic platforms with APIs, data platforms, cloud services, and enterprise applications.
  • Ability to configure Kubernetes and deploy workloads.
  • Ability to design deployment architectures across cloud, on-premise, and hybrid environments.
  • Ability to collaborate with technical and non-technical team members, work in a dynamic environment with evolving objectives, and iterate directly with users.
  • Strong consulting experience planning, executing, and delivering complex client engagements that solve business problems.

Culture & Benefits

  • Flexible remote working culture focused on work-life balance.
  • Annual company bonus based on company performance.
  • 25 days of annual leave plus public holidays, sick leave, and marriage leave.
  • Remote working allowance of up to €1,250 every two years, plus essential equipment.
  • Training and development allowance of up to €1,000.
  • Private healthcare, pension matching of up to 5%, income protection, and death-in-service insurance.

Hiring process

  • 30-minute introductory Talent Call via Zoom.
  • One-hour live technical assessment via Zoom focused on Python, problem-solving, and coding practices.
  • 45-minute Hiring Manager Interview focused on teamwork, client collaboration, and enterprise development problem-solving; an additional client interview may be required depending on the project.

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