AI Platform Engineer: Copilots, RAG & Knowledge Graphs

applied works; Woking; Hybrid; GBP 75,000 - 120,000; Full time

Benefits offered by this job

25 days leave plus bank holidays

Maternity/Paternity leave

Private healthcare

Pension plan

Life assurance

Electric car scheme

Job summary

Motion Applied in the United Kingdom is seeking an experienced AI Platform Engineer to lead the development of the ATLAS AI platform, integrating LLMs, RAG, and knowledge graphs across the ecosystem.

You will collaborate with Product Management, Architecture and Engineering to transform engineering knowledge into actionable intelligence, building scalable AI services and orchestration frameworks for AI copilots and agent workflows.

Qualifications

• Python development experience.
• API and microservice development.
• Experience working with LLMs.
• Prompt engineering experience.
• Cloud-native application development.
• Distributed systems and service architectures.
• Git-based development workflows.

Responsibilities

• Design and develop ATLAS AI platform capabilities.
• Build reusable AI services and frameworks.
• Develop AI orchestration services for ATLAS applications.
• Create scalable AI infrastructure and deployment patterns.
• Develop AI Copilot capabilities for engineering workflows.
• Build multi-agent workflows and orchestration frameworks.
• Implement tool-use capabilities and workflow automation.
• Develop mechanisms for AI reasoning, planning, and execution.
• Design and implement enterprise RAG solutions.
• Develop document indexing and semantic search capabilities.
• Implement contextual knowledge retrieval.
• Optimise prompt engineering and grounding techniques.
• Integrate knowledge graph technologies including Craxel.
• Model engineering entities, relationships, and context.
• Enable engineering knowledge discovery and navigation.
• Support digital thread and traceability initiatives.
• Integrate Azure OpenAI and other foundation models.
• Evaluate emerging LLM technologies.
• Manage model selection and optimisation.
• Implement AI governance and evaluation frameworks.
• Integrate ONNX Runtime into ATLAS workflows.
• Support deployment of machine learning models.
• Enable edge and cloud inference scenarios.
• Develop model evaluation and monitoring processes.
• Build AI-focused APIs and microservices.
• Integrate AI capabilities with existing ATLAS services.
• Ensure scalability, observability and operational supportability.
• Collaborate with DevOps on deployment and infrastructure automation.

Skills

Python development

API development

LLMs

Prompt engineering

Cloud-native

Distributed systems

Git-based workflows

Tools

Azure OpenAI

LangChain

Kubernetes

Kafka

ONNX Runtime

Docker

Craxel Knowledge Graph

Vector databases

Semantic Kernel

Job description

Motion Applied in the United Kingdom is seeking an experienced AI Platform Engineer to lead the development of the ATLAS AI platform, integrating LLMs, RAG, and knowledge graphs across the ecosystem.

You will collaborate with Product Management, Architecture and Engineering to transform engineering knowledge into actionable intelligence, building scalable AI services and orchestration frameworks for AI copilots and agent workflows.