20 days ago
London, United KingdomSenior
Responsibilities
- Build, implement, and deploy agentic platforms within client environments.
- Design LLM orchestration and multi-agent systems supporting tool use, workflow orchestration, memory, and decision-making.
- Develop Retrieval-Augmented Generation pipelines integrating enterprise data sources.
- Integrate agentic platforms with APIs, data platforms, cloud services, and enterprise applications.
- Configure Kubernetes and deploy workloads across cloud, on-premise, and hybrid environments.
- Collaborate with client stakeholders, technical leaders, and delivery teams to deliver complex engagements.
Requirements
- At least eight years of commercial experience is typical for the required senior engineer level.
- Experience designing and building agentic platforms using Python and modern AI frameworks.
- Experience with LangGraph, CrewAI, AutoGen, or related LLM orchestration technologies.
- Experience implementing multi-agent systems and RAG pipelines.
- Ability to configure Kubernetes and design deployment architectures across cloud, on-premise, and hybrid environments.
- Strong consulting, client collaboration, problem-solving, and communication skills.
Benefits
- Full-time, permanent opportunity for candidates based in the UK.
- Requires six days per month onsite in London, with otherwise flexible and remote working options.
- Annual company bonus based on company performance.
- 25 days of annual leave plus public holidays, sick leave, marriage leave, and other leave provisions.
- Remote working allowance of up to €1250 every two years, plus essential equipment.
- Training and development allowance of up to €1000.
- Additional private healthcare, pension matching up to 5%, income protection, and death-in-service insurance.
Tech Stack
Categories
Forward Deployed
About Nearform
Nearform is a privately held IT services firm headquartered in Waterford, Ireland, founded in 2011. It designs and builds custom software and AI-enabled solutions for large enterprises, spanning strategy, product design, data engineering, DevOps, and platform modernization. Its business is consulting and delivery services, with an open-source engineering focus, and clients have included Walmart and Starbucks.