Senior AI Systems Engineer — Production AI & RAG

Model ML; Greater London; On-site; GBP 90,000 - 130,000; Full time

Benefits offered by this job

Equity

Challenging projects

Job summary

Model ML is seeking a senior software engineer to own large portions of AI agent infrastructure, including multi-agent systems, RAG pipelines, and evaluation frameworks. You will deliver AI-powered features into production at scale, ensuring performance, reliability, and security across the stack.

You will contribute across the stack—from frontend interfaces to backend APIs, databases, and deployment pipelines—while mentoring junior developers and upholding engineering best practices.

Qualifications

• 5+ years of professional software engineering experience.
• Hands-on experience building and deploying AI applications in production environments.
• 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 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

Backend development

Python

Cloud

Docker

Kubernetes

CI/CD

Redis

Celery

RAG pipelines

LLM evaluation

Tools

Git

PostgreSQL

SQL

FastAPI

Django

Job description

Model ML is seeking a senior software engineer to own large portions of AI agent infrastructure, including multi-agent systems, RAG pipelines, and evaluation frameworks. You will deliver AI-powered features into production at scale, ensuring performance, reliability, and security across the stack.

You will contribute across the stack—from frontend interfaces to backend APIs, databases, and deployment pipelines—while mentoring junior developers and upholding engineering best practices.