Senior AI Agent Platform Engineer - Remote/UK

Nearform

Greater London

Remote

GBP 68,000 - 83,000

Full time

29 hours ago
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Benefits offered by this job

Annual bonus
Remote work flexibility
Paid time off 25 days + holidays
Remote workspace budget
Training allowance
Healthcare

Job summary

Nearform is seeking a Forward Deployed Engineer based in the UK to design and deploy agentic AI platforms for client environments. You will implement scalable, AI-driven solutions across products, processes and teams, collaborating with stakeholders and delivery teams.

The role requires significant senior-level experience, strong Python expertise, and hands-on work with LLM orchestration and multi-agent systems. A remote-friendly, flexible, on-site London setup supports work-life balance.

Qualifications

  • 8+ years of commercial experience as a Senior Engineer.
  • Experience building agentic platforms using Python.
  • Experience designing LLM orchestration with LangGraph, CrewAI or AutoGen.
  • Implement multi-agent systems with tooling, memory, and decision-making.
  • Design and deploy Retrieval-Augmented Generation (RAG) pipelines.
  • Integrate agentic platforms with APIs, data platforms, cloud services, and enterprise apps.
  • Configure Kubernetes and deploy workloads.

Responsibilities

  • Build, implement and deploy agentic platforms within client environments.
  • Design scalable AI-driven solutions across products, processes and teams.
  • Collaborate with client stakeholders, technical leaders and delivery teams.

Skills

Python
LLM orchestration
LangGraph
CrewAI
AutoGen
Kubernetes
APIs
Cloud & on-prem
Multi-agent systems

Tools

LangGraph
Kubernetes

Job description

Nearform is seeking a Forward Deployed Engineer based in the UK to design and deploy agentic AI platforms for client environments. You will implement scalable, AI-driven solutions across products, processes and teams, collaborating with stakeholders and delivery teams.

The role requires significant senior-level experience, strong Python expertise, and hands-on work with LLM orchestration and multi-agent systems. A remote-friendly, flexible, on-site London setup supports work-life balance.

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