AI Engineer

VEED; Greater London; Hybrid; GBP 76,000 - 119,400; Full time

Benefits offered by this job

Monthly subsidy programme

Unlimited paid holidays

Home office set-up

Mental health benefit

Job summary

VEED, a pioneering generative AI company, is seeking a professional to manage GPU infrastructure and deploy AI models. The role involves ensuring reliability for enterprise customers and managing incident response across various cloud providers.

Candidates should be proficient in Python and have a strong background in DevOps or MLOps. Enjoy unlimited holidays, monthly benefits subsidies, and a flexible hybrid working environment.

Qualifications

• Experience managing GPU infrastructure and running models.
• Proficient in Python, TypeScript, and Go.
• Applied DevOps principles in production environments.

Responsibilities

• Deploy and operate AI models across GPU infrastructure.
• Own monitoring and incident response systems.
• Manage failovers across multiple GPU providers.

Skills

Hands-on with GPUs

Strong in Python

Experienced in DevOps or MLOps

Familiar with neo-cloud providers

Technical partnership skills

Hands-on with the ML stack

Problem-solving with GPU sourcing

Tools

Python

TypeScript

Go

PyTorch

Job description

About The Company

At VEED, we’re a generative AI company building the AI video creation platform made for social. It’s where millions of marketers imagine and generate branded videos, in minutes. We’re powered by frontier models and VEED Fabric, our own image‑to‑video model. Our APIs also run AI video inside leading creative products. We’re 150 people, $50M ARR, backed by Sequoia. We’re hiring. Come help us make AI videos worth posting.

Where And How We Work

At VEED we are hybrid, enabling teams and individuals to design their day and integrate work and life. We require 1 day a week in office for London, Amsterdam and Barcelona‑based employees and you have flexibility to decide which day.

About The Team

Our team is the engine behind VEED’s state‑of‑the‑art models. We own the GPU infrastructure that powers everything from real‑time video generation to our API platform, and we’re scaling fast. We work at the intersection of cutting‑edge ML research and production engineering. If it runs on a GPU, we’re behind it.

What You’ll Do

• Deploy and operate our AI models across GPU infrastructure, ensuring the reliability and performance our enterprise customers depend on.
• Own monitoring, alerting, and incident response, keeping our systems healthy and our SLAs intact.
• Manage failovers across multiple cloud and neo‑cloud GPU providers, balancing cost, performance, and risk.
• Build data pipelines that support model training and help us iterate faster on new model releases.
• Work as a technical peer: contribute ideas, challenge assumptions, and help make better decisions on architecture and tooling.
• Influence the design of our API platform by suggesting technologies and approaches as we build the infrastructure layer that enterprise customers will rely on.
• Source creative solutions to GPU availability and cost constraints, working with both major cloud providers and specialist neo‑cloud partners.

Our Stack

Python (primary), TypeScript and Go (cross‑team collaboration). GPU infrastructure across GCP cloud provider and neo‑cloud providers. PyTorch model ecosystem for deployment and serving.

About You

• Hands‑on with GPUs. You’ve run models, provisioned and managed GPU infrastructure yourself, not just consumed third‑party APIs. You know what it takes to keep these systems running reliably at scale.
• Strong in Python. It’s your go‑to language. TypeScript and Go are a bonus if you’ve worked across teams.
• Experienced in DevOps or MLOps. You bring operational rigour across monitoring, alerting, incident response and failover, and you’ve applied it in a production environment with real reliability expectations.
• Familiar with neo‑cloud providers. You understand the trade‑offs of working with specialist GPU providers beyond the big three: the cost benefits, the risks, and how to manage both.
• A strong technical partner. You’re comfortable working closely with another engineer, pushing back when you disagree, and contributing to technical decisions rather than just implementing them.
• Hands‑on with the ML stack. You’ve deployed PyTorch models to production yourself and can handle the common failure modes. CUDA‑level optimisation isn’t required, that’s our performance engineer’s job.
• Excited by the problem. GPU sourcing is genuinely hard. Cost, performance, and availability constraints require creative thinking. You’re energised by that kind of challenge.

What We Offer

• Monthly subsidy programme: Different people have different needs and therefore value different benefits. Providing this as a subsidy allows you to have the greatest flexibility to apply to what you value most – whether that be to offset the cost of office furniture, childcare, gym membership, etc.
• Unlimited paid holidays: We value that you get more time with your family and friends.
• Home office set‑up: We have an IT Equipment program to make sure your home office is adequately set up with IT equipment including a laptop, monitors, headsets/earbuds, keyboards and more!
• Mental health benefit: We’ve partnered with Spill to provide all our employees with confidential mental health support.

This role is open at IC3 or IC4 level depending on experience. The salary range across both levels is £76,000 - £119,400 gross per year. The level and offer are determined by the scope of the role and your experience and skills assessed during the process. We do not ask about current or previous salary at any stage.

We think what matters is people. After all, a company is just a group of people. We don’t care about where you’re from, what school you went to or where you worked before. If you’ve done exceptional work, we want to hear from you. Join us on our mission to make creative storytelling with video simple and accessible for everyone.

Country Hiring Guidelines

At VEED we are hybrid, enabling teams and individuals to design their day and integrate work and life. We are currently hiring in 3 core hubs: London, Amsterdam and Barcelona and 2 additional hubs for sales and support roles only (USA for sales and the Philippines for support). Please refer to the individual job posts for more details.

By submitting this application, I agree that my personal data will be collected, processed, and retained by the company solely for the purposes of managing and assessing my candidacy.