Senior Full-Stack Engineer (AI)

Job title:

Senior Full-Stack Engineer (AI)

Company

Checkout.com

Job description

Company DescriptionCheckout.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 DescriptionAs 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.

QualificationsWhat 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 InformationHybrid 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 statementIf 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 opportunitiesWe 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

• Our Culture video https://youtu.be/BEwnpHuadSw
• Our careers page https://www.checkout.com/careers
• Our LinkedIn Life pages bit.ly/3OaoN1U
• Our Instagramhttps://www.instagram.com/checkout_com/

Expected salary

Location

London

Job date

Fri, 13 Dec 2024 23:18:20 GMT

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