• Build, implement, and deploy agentic platforms within client environments, enabling organisations to operationalise LLM-powered agents across products, processes, and teams.
• Work closely with client stakeholders, technical leaders, and delivery teams to roll out agentic capabilities that integrate seamlessly with existing enterprise systems and frameworks.
• Travel frequently to client sites within Europe, with travel expenses covered by the company.
📋 Job Requirements
• Bring significant experience delivering at a Senior Engineer level, typically at least 8 years of commercial experience.
• Have experience designing and building agentic platforms using Python and modern AI frameworks.
• Architect LLM orchestration using frameworks such as LangGraph, CrewAI, AutoGen, and related technologies.
• Implement multi-agent systems supporting tool use, workflow orchestration, memory, and decision-making.
• Design and deploy Retrieval-Augmented Generation pipelines integrating enterprise data sources.
• Integrate agentic platforms with client systems including APIs, data platforms, cloud services, and enterprise applications.
• Configure Kubernetes and deploy workloads.
• Design deployment architectures across cloud, on-premise, and hybrid environments.
• Collaborate efficiently in teams of technical and non-technical individuals.
• Be comfortable working in a dynamic environment with evolving objectives and direct iteration with users.
• Bring strong consulting experience to plan, execute, and deliver complex client engagements solving real business problems.
🌟 Nice-to-have
• Have hands-on experience working with Golang.
• Have hands-on experience in the frontend working with React.
• Bring deep understanding of Kubernetes.
🎯 Responsibilities
• Build and deploy scalable AI-driven solutions within client environments.
• Enable organisations to operationalise LLM-powered agents across products, processes, and teams.
• Architect and implement multi-agent systems with tool use, workflow orchestration, memory, and decision-making capabilities.
• Design and deploy RAG pipelines integrating enterprise data sources.
• Integrate agentic platforms with client systems including APIs, data platforms, cloud services, and enterprise applications.
• Design deployment architectures across cloud, on-premise, and hybrid environments.
• Collaborate with client stakeholders, technical leaders, and delivery teams to ensure seamless rollout of agentic capabilities.
• Travel frequently to client sites within Europe to support implementations.
About Nearform
😃 What Nearform offers
• Receive a salary starting from £75,000 plus bonus and benefits.
• Receive an annual company bonus based on company performance.
• Work remotely and flexibly with a genuine dedication to work/life balance.
• Take 25 days annual leave plus public holidays, with additional sick leave and marriage leave.
• Receive a remote working allowance of up to €1,250 equivalent every 2 years to set up a comfortable workspace.
• Use a training and development allowance of up to €1,000 equivalent.
• Access additional private healthcare.
• Join a pension scheme with employer match of up to 5%, plus income protection and death in service.
💖 What makes Nearform unique
Nearform is an independent team of 500 data and AI experts, engineers, and designers across 20+ countries who build intelligent digital solutions and capability at pace. Trusted by leading enterprises including Lululemon, Puma, Sun Life, Starbucks, Travelex, Virgin Media O2, and Walmart, Nearform partners with ambitious enterprises to deliver AI-enabled solutions that enhance digital experiences, empower developers, and deliver measurable results.
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