Autonomous Network AI LLM Engineer

Capgemini; Greater London; Hybrid; GBP 90,000 - 120,000; Full time

Job summary

Capgemini in the UK seeks an AI LLM Engineer to design and build an AI brain for autonomous network operations. You will develop LLM-based agents, RAG systems, and multi-agent workflows across data sources.

You will implement vector search, semantic retrieval, and graph-enhanced reasoning, optimize prompts, and ensure secure, scalable deployments with Kubernetes and Docker in cloud-native environments.

Qualifications

• Experience in AI/ML engineering, data engineering, software engineering, or applied machine learning.
• Hands-on with LLMs, RAG, semantic search, or agentic AI systems.

Responsibilities

• Design and develop LLM-based AI solutions for autonomous network operations.
• Build RAG frameworks from network data, alarms, KAIs, topology, and KPIs.
• Develop multi-agent workflows using LangChain, LangGraph, MCP, or similar frameworks.
• Implement vector search, semantic retrieval, graph-enhanced retrieval, and hybrid search patterns.
• Develop AI agents for fault diagnosis, KPI analysis, incident summarisation, and operational decision support.
• Build token-efficient prompting, context optimisation, caching, and response generation techniques.
• Integrate LLM solutions with OSS, AIOps, inventory, graph databases, vector databases, data pipelines, and automation platforms.
• Develop fault correlation, KPI modelling, predictive analytics, and closed-loop trigger logic.
• Implement safe AI workflows with human-in-the-loop approval, confidence scoring, explainability, and auditability.
• Optimise AI models and agent workflows for latency, cost, accuracy, and reliability.
• Support model evaluation, prompt evaluation, hallucination reduction, retrieval quality improvement, and grounding validation.

Skills

Python

LLMs & transformers

LangChain / LangGraph

Vector databases

Graph APIs / knowledge graphs

Data pipelines

Docker & Kubernetes

AIOps knowledge

Prompt engineering

AI observability

Tools

Docker

Kubernetes

Job description

Capgemini in the UK seeks an AI LLM Engineer to design and build an AI brain for autonomous network operations. You will develop LLM-based agents, RAG systems, and multi-agent workflows across data sources.

You will implement vector search, semantic retrieval, and graph-enhanced reasoning, optimize prompts, and ensure secure, scalable deployments with Kubernetes and Docker in cloud-native environments.