At a Glance
- Tasks: Build and extend scalable AI infrastructure across the full stack.
- Company: Join Encord, a leading AI data platform trusted by top companies.
- Benefits: Competitive salary, equity, 25 days leave, and learning budget.
- Other info: Collaborative culture with regular team events and growth opportunities.
- Why this job: Make a real impact in AI while working with cutting-edge technology.
- Qualifications: Strong full-stack experience and a passion for building impactful products.
The predicted salary is between 70000 - 90000 £ per year.
About us
Encord is the universal data layer for AI that helps 300+ AI teams train and run models on the right data. Our platform indexes, curates, annotates, and evaluates data across the full AI lifecycle, from development through production. Trusted by Woven by Toyota, AXA, UiPath, Zipline, and more. We're an ambitious team of 100+ working at the frontier of AI and have raised $60M in Series C funding from Wellington Management, CRV, Next47 and Y Combinator.
The role
We're looking for an outstanding experienced engineer to push our platform to the next level of performance and reliability. You'll join us at a crucial stage of accelerated development for the company, product, and team. As part of a small, highly collaborative group, you'll be a key driver of vital projects — operating with a high degree of autonomy, building and extending multiple foundational systems, and crafting performant, reliable, and maintainable solutions to challenging technical and product problems.
What you'll do
- Build and extend foundational systems across the full stack, from backend services to frontend interfaces.
- Take end-to-end ownership of projects, from product and architectural decisions through to deployment, monitoring, and measuring user impact.
- Work autonomously to drive projects forward while collaborating closely with a lean, high-trust team on challenging problems.
- Tackle complex domains at massive scale using simple, well-crafted solutions.
- Take initiative, be proactive in problem-solving, and continuously seek improvements across the codebase and product.
Who we're looking for
- You've seen and built a lot. You have personally developed and maintained multiple systems from scratch, and you know what trade-offs are involved in building reliable, performant software at speed.
- You want your work to have a tangible outcome for people. You're not satisfied with building products that do not see the light of day.
- You are a builder. You enjoy all aspects of building not only software but a complete product, and are comfortable moving across the stack when necessary.
- You enjoy problem-solving and thinking from first principles, and are always ready to pick up new skills and build quickly.
- You're happy to tackle problems without a predefined, clear definition or obvious solution, and are excited to have autonomy to make decisions as you go.
- You understand that being a member of a high-performing team requires two things. You contribute your best work and help others contribute their best. You'll always lend a helping hand when needed and level up those around you.
Experience requirements
- Strong full-stack engineering experience, with production-grade work across both backend and frontend.
- Deep fluency in at least one high-level language (we use Python and TypeScript, but we care more about depth than the specific language); experience with React is a plus.
- Familiarity with cloud infrastructure (GCP preferred) and containerised deployment (Kubernetes).
- Experience building at scale in a fast-paced startup or high-growth environment.
- Bonus: exposure to machine learning workflows or ML infrastructure.
Tech stack
- Backend: Python
- Frontend: TypeScript and React
- Deployment: Kubernetes
- Infrastructure: GCP
- Machine learning: PyTorch, CUDA, Ray
Why Encord
- Competitive salary, commission, and meaningful equity in a high-growth startup.
- Strong in-person culture — most of the team works from our London office 4+ days/week.
- 25 days annual leave + UK public holidays.
- Annual learning & development budget.
- Travel for customer visits, events, and conferences across the UK and Europe.
- Company lunches twice a week.
- Monthly socials & bi-annual team offsites.
Senior Full-Stack Engineer: Build Scalable AI Infrastructure in London employer: Encord
Encord is an exceptional employer for Senior Full-Stack Engineers, offering a dynamic work environment at the forefront of AI technology in London. With a strong emphasis on collaboration and autonomy, employees are empowered to take ownership of impactful projects while enjoying competitive salaries, generous annual leave, and a commitment to professional development through an annual learning budget. The vibrant in-person culture, complemented by regular team events and a focus on employee well-being, makes Encord a truly rewarding place to build a meaningful career.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Full-Stack Engineer: Build Scalable AI Infrastructure in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. A personal connection can often get your foot in the door faster than a CV.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects. When you apply through our website, include links to your work to impress the hiring team.
✨Tip Number 3
Prepare for interviews by practising common technical questions and coding challenges. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
Follow up after interviews! A quick thank-you email can keep you top of mind and show your enthusiasm for the role. Plus, it’s a great way to reiterate why you’re a perfect fit for the team.
We think you need these skills to ace Senior Full-Stack Engineer: Build Scalable AI Infrastructure in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Senior Full-Stack Engineer role. Highlight your full-stack projects, especially those involving Python, TypeScript, and cloud infrastructure.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about building scalable AI infrastructure. Share specific examples of how you've tackled complex problems and contributed to high-performing teams.
Showcase Your Projects:Include links to your GitHub or any relevant projects in your application. We love seeing real-world applications of your skills, especially if they demonstrate your ability to build and maintain systems from scratch.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for the role!
How to prepare for a job interview at Encord
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python, TypeScript, and Kubernetes. Brush up on your knowledge of cloud infrastructure, particularly GCP, and be ready to discuss how you've used these tools in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of complex problems you've tackled in previous roles. Highlight your thought process and how you arrived at effective solutions, especially in high-pressure environments. This will demonstrate your ability to think critically and work autonomously.
✨Emphasise Collaboration
Since the role involves working closely with a small team, be ready to discuss how you’ve contributed to team success in the past. Share instances where you’ve helped others or collaborated on projects, showcasing your commitment to a high-performing team culture.
✨Express Your Passion for Building
Convey your enthusiasm for building not just software but complete products. Talk about your experiences in taking ownership of projects from start to finish, and how you ensure that your work has a tangible impact. This aligns perfectly with what they’re looking for in a candidate.
