Senior AI Engineer: Production ML & Multi-Agent Systems

Nodi; Greater London; Hybrid; GBP 110,000 - 140,000; Full time

Benefits offered by this job

Competitive salary

Equity

Innovative work environment

Job summary

Model ML is seeking an experienced software engineer to own large portions of our AI agent infrastructure and to deploy multi-agent systems and RAG pipelines at production scale. You will build backend services and APIs, ensure security and performance, and contribute across the stack from frontend to deployment pipelines.

You will work with the founders and engineering team to deliver AI-powered features, data pipelines for model training, and evaluation frameworks.

Qualifications

• 5+ years of professional software engineering experience.
• Hands-on experience building and deploying AI applications in production environments.
• Solid understanding of relational databases.
• Experience with Git and collaborative development workflows.
• Knowledge of cloud infrastructure, containerization (Docker, Kubernetes), and CI/CD pipelines.
• Strong problem-solving skills and a passion for building great products.
• Experience implementing background workers and task queues (Celery, RQ, etc.).
• Proficiency with Redis for caching, pub/sub, or job queues.
• 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

Software engineering

AI applications

Relational databases

Git workflows

Cloud & containers

CI/CD

Background workers

Redis

RAG pipelines

LLM evaluation

Tools

Docker

Kubernetes

Celery

RQ

Job description

Model ML is seeking an experienced software engineer to own large portions of our AI agent infrastructure and to deploy multi-agent systems and RAG pipelines at production scale. You will build backend services and APIs, ensure security and performance, and contribute across the stack from frontend to deployment pipelines.

You will work with the founders and engineering team to deliver AI-powered features, data pipelines for model training, and evaluation frameworks.