Senior AI Infrastructure Engineer: RAG & Multi-Agent

Model ML; Greater London; On-site; GBP 90,000 - 120,000; Full time

Job summary

Model ML is seeking a Member of Technical Staff - AI to own and drive large portions of our AI agent infrastructure. You will design and deploy multi-agent systems, integrate RAG pipelines, and deliver production-ready features at scale.

You will work across the stack—from frontend to backend, build data pipelines for model training, and mentor engineers while advancing security, performance, and reliability.

Qualifications

• 5+ years of professional software engineering experience.
• Hands-on experience building and deploying AI applications in production.
• Strong backend development skills (Python preferred).
• Solid understanding of relational databases.
• Experience with Git and collaborative development workflows.
• Knowledge of cloud infrastructure, containerization (Docker, Kubernetes), and CI/CD pipelines.
• Experience implementing background workers and task queues (Celery, RQ, etc.).
• Proficiency with Redis for caching, pub/sub, or job queues.
• Hands-on experience building and deploying AI applications in production environments.
• Experience implementing RAG pipelines, AI agent orchestration, and performance monitoring.
• Familiarity with LLM evaluation techniques and tools for measuring model accuracy, reliability, and safety.

Responsibilities

• Build, test, and deploy backend services and APIs (Python/ Django/ FastAPI preferred, but other languages/frameworks welcome).
• Collaborate with founders, growth team, designers, and other engineers to deliver high-impact features.
• Ensure scalability, performance, and security across the stack.
• Develop and deploy AI-powered features in production, including RAG (Retrieval-Augmented Generation) systems, multi-agent infrastructure, and evaluation frameworks (Evals).
• Create data pipelines for AI model training, evaluation, and continuous improvement.
• Mentor junior developers and promote engineering best practices.

Skills

Python development

Backend development

AI applications

Cloud infrastructure

CI/CD

Distributed systems

RAG pipelines

Multi-agent systems

Git

Docker

Kubernetes

Redis

Celery

Django

FastAPI

Tools

Docker

Kubernetes

Redis

Celery

RQ

Git

Django

FastAPI

Job description

Model ML is seeking a Member of Technical Staff - AI to own and drive large portions of our AI agent infrastructure. You will design and deploy multi-agent systems, integrate RAG pipelines, and deliver production-ready features at scale.

You will work across the stack—from frontend to backend, build data pipelines for model training, and mentor engineers while advancing security, performance, and reliability.