Let’s get started
By clicking ‘Next’, I agree to the Terms of Service
and Privacy Policy
Jobs / Job page
Senior Full-Stack Engineer (AI) image - Rise Careers
Job details

Senior Full-Stack Engineer (AI)

Company Description

Checkout.com is one of the most exciting fintechs in the world. Our mission is to enable businesses and their communities to thrive in the digital economy. We’re the strategic payments partner for some of the best known fast-moving brands globally such as Wise, The Hut Group, Sony Electronics, Sainsbury’s, Deliveroo, Adidas, Klarna and many others. Purpose-built with performance and scalability in mind, our flexible cloud-based payments platform helps global enterprises launch new products and create experiences customers love. And it's not just what we build that makes us different. It's how.

We empower passionate problem-solvers to collaborate, innovate and do their best work. That’s why we’re on the Forbes Cloud 100 list and a Great Place to Work accredited company. And we’re just getting started. We’re building diverse and inclusive teams around the world — because that’s how we create even better experiences for our merchants and our partners. And we need your help. Join us to build the digital economy of tomorrow.

Job Description

As a Senior Full Stack Engineer within Checkout.com’s AI Center of Excellence, you will play a pivotal role in applying cutting-edge Generative AI technologies to transform how we operate and innovate. You will design, build, and deploy AI-driven solutions, collaborating across teams to create impactful applications that enhance product features and streamline business processes.

How you’ll make an impact:

  • Collaborate with product managers, data scientists, and engineers to research, scope, and validate use cases for Generative AI that drive business value and innovation.
  • Design and build APIs and microservices to integrate AI capabilities seamlessly into internal and external workflows.
  • Support the development, tuning, and deployment of Generative AI models (e.g., chatbots, virtual assistants, and knowledge extraction).
  • Create scalable, reliable infrastructure for training, deploying, and monitoring AI models, leveraging cloud platforms like AWS, GCP, or Azure.
  • Implement CI/CD pipelines and ensure adherence to best practices for model deployment, security, and compliance with global regulations.
  • Develop intuitive, user-friendly interfaces to enable stakeholders to interact with AI-driven features.
  • Continuously monitor and optimize system performance to ensure scalability, security, and operational efficiency.

Qualifications

What We’re Looking For:

  • Proficiency in Python (and at least one other language a plus).  Experience with key libraries such as PyTorch, Pandas, Hugging Face Transformers, or similar AI toolkits.
  • Working knowledge of LLMs (e.g., GPT, BERT, Llama, Gemini) and experience applying them to solve specific problems.
  • Hands-on experience with frontend development (e.g., React) and creating responsive web applications.
  • Solid backend engineering skills, including designing and implementing RESTful APIs or microservices.
  • Familiarity with cloud computing platforms (AWS, GCP, or Azure) and containerization tools (e.g., Docker, Kubernetes).
  • Experience with modern data platforms (e.g., Snowflake, BigQuery, or Databricks) and data processing workflows (ETL, pipelines).
  • Strong problem-solving abilities, with the capacity to learn quickly and adapt in a fast-paced environment.
  • Excellent communication and collaboration skills to work effectively across diverse teams.

We also want to hear if you have:

  • Experience developing Generative AI applications, including fine-tuning models or creating prototypes.
  • Awareness of ethical considerations and emerging best practices in AI governance.
  • Track record of developing rapid prototypes with a focus on measurable ROI.
  • Familiarity with distributed systems and large-scale data processing.
  • Contributions to open-source projects or a strong GitHub portfolio.
  • High levels of technical curiosity and an eagerness to learn new platforms

Additional Information

Hybrid Working Model: All of our offices globally are onsite 3 times per week (Tuesday, Wednesday, and Thursday). We’ve worked towards enabling teams to work collaboratively in the same space, while also being able to partner with colleagues globally. During your days at the office, we offer amazing snacks, breakfast, and lunch options in all of our locations.

Apply without meeting all requirements statement 

If you don't meet all the requirements but think you might still be right for the role, please apply anyway. We're always keen to speak to people who connect with our mission and values.

We believe in equal opportunities

We work as one team. Wherever you come from. However you identify. And whichever payment method you use. 

Our clients come from all over the world — and so do we. Hiring hard-working people and giving them a community to thrive in is critical to our success.

When you join our team, we’ll empower you to unlock your potential so you can do your best work. We’d love to hear how you think you could make a difference here with us. 

We want to set you up for success and make our process as accessible as possible. So let us know in your application, or tell your recruiter directly, if you need anything to make your experience or working environment more comfortable. We’ll be happy to support you.

Take a peek inside life at Checkout.com via

Average salary estimate

$100000 / YEARLY (est.)
min
max
$80000K
$120000K

If an employer mentions a salary or salary range on their job, we display it as an "Employer Estimate". If a job has no salary data, Rise displays an estimate if available.

What You Should Know About Senior Full-Stack Engineer (AI), Checkout.com

Checkout.com is on the lookout for a Senior Full-Stack Engineer (AI) to join our dynamic AI Center of Excellence in London, UK. If you're passionate about transforming businesses with cutting-edge Generative AI technologies, this could be the role for you! As part of our innovative team, you’ll have the opportunity to design, build, and deploy AI-driven solutions that not only enhance our product features but also streamline various business processes. Imagine collaborating with product managers, data scientists, and fellow engineers to validate exciting use cases that drive real value! Your role will include developing APIs and microservices that integrate AI capabilities seamlessly into workflows, along with the development and deployment of AI models like chatbots and virtual assistants. You’ll also get a chance to create scalable infrastructure leveraging cloud platforms such as AWS, GCP, or Azure. In addition, implementing CI/CD pipelines to ensure best practices for model deployment is a key part of your responsibilities. Your work will empower stakeholders with user-friendly interfaces that bring AI-driven features to life. If you're an excellent communicator, have strong problem-solving skills, and are excited about the possibilities of AI, we’d love to have you on board at Checkout.com to help build the digital economy of tomorrow!

Frequently Asked Questions (FAQs) for Senior Full-Stack Engineer (AI) Role at Checkout.com
What responsibilities can a Senior Full-Stack Engineer (AI) at Checkout.com expect?

As a Senior Full-Stack Engineer (AI) at Checkout.com, you will collaborate with various teams to design and implement AI-driven solutions that enhance business operations. Your responsibilities include developing APIs and microservices for AI integration, deploying Generative AI models, monitoring system performance, and creating intuitive interfaces for stakeholders.

Join Rise to see the full answer
What qualifications are needed for the Senior Full-Stack Engineer (AI) position at Checkout.com?

To qualify for the Senior Full-Stack Engineer (AI) role at Checkout.com, candidates should have proficiency in Python and familiarity with AI libraries such as PyTorch and Hugging Face Transformers. Additionally, experience with frontend technologies like React, backend engineering skills, and knowledge of cloud platforms such as AWS or GCP are essential.

Join Rise to see the full answer
How does the hybrid working model function for a Senior Full-Stack Engineer (AI) at Checkout.com?

At Checkout.com, the hybrid working model allows Senior Full-Stack Engineers (AI) to work onsite three times a week, specifically on Tuesday, Wednesday, and Thursday. This balance between collaboration in the office and flexibility promotes effective teamwork while also accommodating remote work.

Join Rise to see the full answer
What tools and technologies will a Senior Full-Stack Engineer (AI) at Checkout.com primarily use?

In the role of Senior Full-Stack Engineer (AI) at Checkout.com, you will primarily work with tools like Python and front-end frameworks such as React. You'll also leverage cloud computing platforms like AWS, GCP, or Azure for deploying AI models and create scalable infrastructure while utilizing containerization tools like Docker.

Join Rise to see the full answer
What qualities are essential for success as a Senior Full-Stack Engineer (AI) at Checkout.com?

Success as a Senior Full-Stack Engineer (AI) at Checkout.com requires strong problem-solving abilities, technical curiosity, and excellent collaboration skills. A passion for innovation in AI and the ability to adapt quickly in a fast-paced environment are also crucial for thriving in this role.

Join Rise to see the full answer
Common Interview Questions for Senior Full-Stack Engineer (AI)
Can you describe your experience with Generative AI frameworks?

When answering this question, share specific projects where you applied Generative AI frameworks like PyTorch or Hugging Face Transformers. Highlight your role in model tuning, deployment, and any metrics that demonstrate the success of your solutions.

Join Rise to see the full answer
How do you approach designing APIs and microservices for AI applications?

Explain your design process for APIs and microservices, focusing on best practices such as scalability, security, and performance. Discuss any relevant past experiences where you’ve successfully implemented such architectures.

Join Rise to see the full answer
What strategies do you use for monitoring and optimizing AI model performance?

Discuss your experience with continuous monitoring tools and techniques to ensure optimal performance of AI models. Share any analytics or metrics you use to assess the success of the models and how you have iterated based on your findings.

Join Rise to see the full answer
Can you give an example of a challenge you faced in a previous AI project?

When answering, choose a specific example that highlights your problem-solving skills. Describe the challenge, your thought process, the steps you took to overcome it, and the eventual outcome.

Join Rise to see the full answer
How do you stay updated with the latest trends in AI and technology?

Talk about the resources you use for staying informed, such as online courses, tech blogs, industry conferences, or involvement in open-source communities. Mention any specific projects or tools that inspired you as a result.

Join Rise to see the full answer
What role do communication and collaboration play in your work as a full-stack engineer?

Share how you effectively communicate complex technical concepts to various stakeholders, such as product managers and data scientists. Provide examples where collaboration led to successful project outcomes.

Join Rise to see the full answer
Describe your experience with cloud platforms and containerization.

Elaborate on your hands-on experience with cloud services like AWS or GCP and your familiarity with containerization tools like Docker. Focus on projects where you utilized these technologies to enhance scalability and deployment efficiency.

Join Rise to see the full answer
What are your thoughts on ethical considerations in AI development?

Discuss the importance of ethics in AI, particularly concerning bias, accountability, and transparency. Provide examples of how you have considered ethical implications in past projects.

Join Rise to see the full answer
How do you ensure security and compliance in your AI applications?

Describe your approach to implementing security measures and adherence to compliance regulations in your AI applications. Discuss specific tools or frameworks you’ve used to maintain security throughout the development lifecycle.

Join Rise to see the full answer
What is your experience with developing user interfaces for AI-driven applications?

Provide insights into your background in frontend development, especially in creating user-friendly interfaces for AI applications. Highlight any specific tools or frameworks you have used, like React, to create engaging user experiences.

Join Rise to see the full answer
Similar Jobs
Photo of the Rise User
DoorDash USA Remote Sunnyvale, CA; San Francisco, CA; Los Angeles, CA; Seattle, WA; New York, NY;
Posted 12 days ago
Photo of the Rise User
Posted 2 hours ago
Photo of the Rise User
Posted 10 days ago
Photo of the Rise User
Applied Intuition Hybrid Mountain View, California, United States
Posted yesterday
Photo of the Rise User
Posted 6 days ago
Posted 14 days ago
Photo of the Rise User
Posted 13 days ago
MATCH
Calculating your matching score...
FUNDING
SENIORITY LEVEL REQUIREMENT
TEAM SIZE
No info
LOCATION
No info
EMPLOYMENT TYPE
Full-time, hybrid
DATE POSTED
December 11, 2024

Subscribe to Rise newsletter

Risa star 🔮 Hi, I'm Risa! Your AI
Career Copilot
Want to see a list of jobs tailored to
you, just ask me below!