Autonomous Network AI Engineer & LLM Agent Architect

Capgemini Engineering; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Exposure to Capgemini clients

Digital learning access

Diversity networks

Job summary

Capgemini Engineering in the United Kingdom is seeking an AI/LLM Engineer to design and build the AI brain for autonomous network operations, developing LLM‑based agents, RAG systems and multi‑agent workflows.

You will deploy with Kubernetes and Docker, work with LangChain, vector databases, graph databases and API integrations, while collaborating with cybersecurity and OSS teams to ensure safe, scalable AI services.

Qualifications

• Hands-on AI/ML engineering with focus on LLM‑driven systems.
• Experience building RAG, semantic search, and multi‑agent workflows.
• Strong Python and data pipeline skills.
• Familiarity with vector DBs and graph knowledge graphs.
• Experience deploying with Kubernetes/Docker and cloud platforms.

Responsibilities

• Design and develop LLM‑based and agentic AI for autonomous network ops.
• Build RAG frameworks using docs, alarms, KPIs, and topology data.
• Develop multi‑agent workflows with LangChain/LangGraph/MCP.
• Implement vector/graph retrieval and hybrid search patterns.
• Create AI agents for fault diagnosis, KPI analysis, and incident support.
• Optimize prompts, context, and response generation for latency/cost.
• Integrate with OSS, AIOps, inventories, graphs, and data pipelines.
• Ensure safe workflows with human‑in‑the‑loop and auditability.
• Work with cybersecurity to implement safe AI and access controls.
• Deploy services using Kubernetes, Docker, APIs, and cloud patterns.

Skills

Python

LLMs

Transformers

ML basics

Embeddings

AIOps

KPI modelling

Prompt engineering

Tools

LangChain

LangGraph

LlamaIndex

AutoGen

MCP

Pinecone

Weaviate

Milvus

Qdrant

ChromaDB

Docker

Kubernetes

APIs

Cloud-native

Job description

Capgemini Engineering in the United Kingdom is seeking an AI/LLM Engineer to design and build the AI brain for autonomous network operations, developing LLM‑based agents, RAG systems and multi‑agent workflows.

You will deploy with Kubernetes and Docker, work with LangChain, vector databases, graph databases and API integrations, while collaborating with cybersecurity and OSS teams to ensure safe, scalable AI services.