AI Platform Engineer

Nextech Group Limited; Horsham; On-site; GBP 59,000 - 72,000; Full time

Job summary

Nextech Group Limited, a growing technology company in the UK, is hiring a backend AI/LLM engineer. The role focuses on designing scalable services, deploying AI models, and integrating live LLMs into products. Hybrid work is offered, with opportunities to shape AI strategy and architecture.

Candidates should have strong Python/Java skills, cloud experience (Azure, AWS, GCP), and hands-on work with LLM-driven features, RAG, agents, and copilots. Docker/Kubernetes experience is a plus.

Qualifications

• Strong experience with Python and/or Java and cloud platforms (Azure/AWS/GCP).
• Hands-on development of LLM-based applications, including RAG, agents, and copilots.
• Familiarity with vector databases, embeddings, and prompt engineering.
• Nice-to-have: containerisation and orchestration with Docker/Kubernetes; scalable, production-grade system design.

Responsibilities

• Design and build scalable back-end services and APIs to support AI/LLM-powered features.
• Develop and maintain infrastructure for deploying, monitoring, and scaling AI models in production.
• Integrate cloud-hosted or locally hosted LLMs into live products.
• Build RAG pipelines, agentic workflows, and prompt/conversation systems.
• Collaborate with data, product, and engineering teams to translate business requirements into technical solutions.
• Implement CI/CD pipelines, monitoring, and observability for AI-driven services.
• Own the full lifecycle from experimentation and prototyping through to production deployment.

Skills

Python

Java

LLM development

Tools

Azure

AWS

GCP

Docker

Kubernetes

Vector databases

Embeddings

Prompt engineering

Job description

Salary: £65,000 - 65,000 per year

Requirements

• Strong commercial experience with Python and/or Java, plus cloud platforms such as Azure, AWS, or GCP
• Hands-on experience with LLM-based application development, including RAG, agents, and copilots
• Familiarity with vector databases, embeddings, and prompt engineering
• Experience with containerisation and orchestration such as Docker and Kubernetes is a plus
• Strong understanding of scalable, production-grade system design
• Comfortable working across experimentation and live deployment environments

Responsibilities

• Design and build scalable back-end services and APIs to support AI/LLM-powered features
• Develop and maintain infrastructure for deploying, monitoring, and scaling AI models in production
• Integrate cloud-hosted or locally hosted LLMs into live products
• Build RAG pipelines, agentic workflows, and prompt/conversation systems
• Collaborate with data, product, and engineering teams to translate business requirements into technical solutions
• Implement CI/CD pipelines, monitoring, and observability for AI-driven services
• Own the full lifecycle from experimentation and prototyping through to production deployment

Technologies

• AI
• AWS
• Azure
• CI/CD
• Cloud
• Docker
• GCP
• Support
• Java
• Kubernetes
• LLM
• Python
• RAG

More:

We are a growing technology company based in Cambridge, building AI-powered products and internal tooling. We offer a competitive salary and benefits package, hybrid working, and the opportunity to shape our AI strategy and architecture from the ground up. You will join a collaborative, innovation-focused culture while helping us scale the infrastructure and systems behind our AI and LLM-driven applications.

last updated 33 week of 2026