At a Glance
- Tasks: Build innovative AI applications and shape technical strategies in a multi-cloud environment.
- Company: Join CommonAI, a leader in AI infrastructure solutions with a collaborative culture.
- Benefits: Enjoy competitive salary, stock options, professional development, and a vibrant office atmosphere.
- Other info: Dynamic startup environment with excellent growth opportunities and networking with industry leaders.
- Why this job: Make a real impact in AI while working with cutting-edge technologies and talented teams.
- Qualifications: Experience in software development, cloud systems, and a passion for AI-driven engineering.
The predicted salary is between 70000 - 90000 £ per year.
Common AI is redefining how deep tech AI solutions are built through shared infrastructure and collaborative engineering.
Common AI Compute, part of the Common AI group, delivers multi-cloud compute products services for AI teams.
We are building at the intersection of AI, cloud and large-scale infrastructure, working with commercial, government and research partners to accelerate AI adoption across the UK and Europe.
Common AI Compute is a member of the government funded Scaling Inference Programme.
A £70M project to advance AI inference hardware and software infrastructure.
Common AI Compute is funded by Barclays, alongside the Common AI High Assurance AI Programme that is deploying AI into regulated markets.
These two products sit in the non-profit sister organisation Common AI CIC and feed into our commercial product development.
Opportunity
We are building the next generation of software for the AI-powered multi-cloud compute ecosystem.
Our team operates at the frontier of AI-assisted engineering, leveraging autonomous agents and cutting-edge foundation models to rapidly design, build and deploy products that solve complex infrastructure and compute challenges for our customers.
Role
You will be responsible for building customer-facing applications and products in the multi-cloud compute space, shaping technical strategy, making architectural decisions and ensuring high-quality delivery from a combination of human and AI contributors.
You’ll be hands‑on when necessary, comfortable moving across application development, infrastructure, platform engineering and site reliability domains, primarily motivated by shipping products at exceptional speed.
- What You’ll Do
- Contribute to development and delivery of customer-facing applications and platforms in the multi-cloud compute ecosystem.
- Drive execution through effective use of AI coding agents and frontier AI tooling.
- Own technical and product decisions across application, infrastructure and platform layers.
- Build and maintain cloud‑native systems across multiple cloud providers.
- Support the development of engineering standards, deployment practices, observability, reliability and operational excellence.
- Partner closely with founders, other members of the engineering team, customers and technical stakeholders to rapidly translate ideas into production systems.
- Evaluate and adopt emerging AI technologies that improve development speed and product capabilities.
- Balance delivery and quality in a fast‑moving startup environment.
Requirements
- What We’re Looking For
- Significant, full lifecycle experience building and shipping production software systems.
- Strong software engineering fundamentals across backend, infrastructure and distributed systems.
- Confidence within a Linux environment, strong devops skills and experience with cloud orchestration technologies.
- Deep familiarity with cloud‑native architectures and modern deployment practices.
- AI‑Native Mindset, being comfortable directing AI agents and excited by the future and potential of autonomous engineering.
- Experience operating production systems with strong reliability, observability and security requirements.
- Hands‑on coding ability.
- Excellent communication and decision‑making skills.
- Previous team leading experience is desirable.
Benefits
- A collaborative and supportive work environment
- The opportunity to have a high impact in a growing organisation
- Competitive salary package including stock options
- Professional development opportunities
- Networking opportunities with influential people from across the tech sector and academia
- A vibrant office environment located a few minutes’ walk away from Cambridge train station, including free snacks and onsite gym
- #J-18808-Ljbffr
Senior Product Developer, Ai Infrastructure Applications in England employer: CommonAI C.I.C.
CommonAI CIC is an exceptional employer that fosters a collaborative and supportive work environment, perfect for those passionate about AI technology. As a Performance Engineer, you will have the opportunity to make a significant impact within a rapidly growing non-profit organisation, while enjoying competitive salary packages, professional development opportunities, and networking with influential figures in the tech sector and academia. Located just minutes from Cambridge train station, our vibrant office offers a unique advantage for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Product Developer, Ai Infrastructure Applications in England
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at CommonAI C.I.C. or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to CommonAI C.I.C..
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like CommonAI C.I.C..
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like CommonAI C.I.C. that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Senior Product Developer, Ai Infrastructure Applications in England
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at CommonAI C.I.C..
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at CommonAI C.I.C. and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at CommonAI C.I.C.
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If CommonAI C.I.C. uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
