Вакансия из Hirify Global, списка международных tech-компаний Для мэтча и отклика нужен Plus
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Зарплата и рынок
£75к/год
£100к£120кмедиана£170к
По похожим ролям (48) ~ £120к/год
На СНГ рынке: $4.2к/мес ($3.2к - $5.1к)
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Чётко очерченная senior-роль в AI даёт практический опыт с агентными системами и корпоративными внедрениями, а условия включают сильный пакет льгот. При этом важно учитывать частые поездки к клиентам и формат консалтинга.
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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