AI Engineer – Enterprise LLMs & Production Systems

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

Job summary

Xcede partners with a global leader in applied AI to design and deliver enterprise-grade AI systems. This hybrid London role involves hands-on development, architecture, and deployment of real-world AI apps built on LLMs, with close client collaboration and delivery leadership.

The role blends software engineering and applied AI, emphasizing ownership, experimentation, and high-quality engineering in a fast-moving, product-minded culture. Occasional travel may be required.

Qualifications

• Strong Python and software engineering foundations.
• Experience delivering production AI/ML systems in enterprise environments.
• Hands-on with Large Language Models and modern AI app architectures.
• Strong backend engineering, APIs, microservices, and cloud-native development.
• Experience with LangChain, LangGraph, vector databases, Docker, Kubernetes, cloud providers.
• Ability to design scalable, maintainable systems with ops awareness.
• Strong client-facing communication skills.
• Experience across full AI delivery lifecycle is desirable.

Responsibilities

• Design and build production-grade AI applications using LLMs and modern frameworks.
• Develop scalable backend systems, APIs, orchestration layers, and microservices for enterprise AI.
• Cover full AI lifecycle from architecture to deployment, monitoring, and adoption.
• Build agentic workflows, RAG systems, multimodal AI applications, and automation tools.
• Collaborate with enterprise stakeholders to translate business problems into technical solutions.
• Mentor engineers and help raise internal engineering standards.
• Coordinate with cross-functional teams across engineering, product, delivery, and client environments.

Skills

Python

AI/ML systems

LLMs

Backend engineering

APIs & microservices

Docker

Kubernetes

LangChain

LangGraph

Vector databases

Distributed systems

Cloud platforms

Client communication

Tools

Docker

Kubernetes

LangChain

LangGraph

Vector databases

AWS

Azure

GCP

Job description

Xcede partners with a global leader in applied AI to design and deliver enterprise-grade AI systems. This hybrid London role involves hands-on development, architecture, and deployment of real-world AI apps built on LLMs, with close client collaboration and delivery leadership.

The role blends software engineering and applied AI, emphasizing ownership, experimentation, and high-quality engineering in a fast-moving, product-minded culture. Occasional travel may be required.