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职位Checkout.com

Software Engineer, AI Centre of Excellence

Checkout.com

Software Engineer, AI Centre of Excellence

Checkout.com

London

·

On-site

·

Full-time

·

1d ago

Company Description

We’re Checkout.com – you might not know our name, but companies like eBay, ASOS, Klarna, Uber Eats, and Sony do. That moment when you check out online? We make it happen.

Checkout.com is where the world checks out. Our global network powers billions of transactions every year, making money move without making a fuss. We spent years perfecting a service most people will never notice. Because when digital payments just work, businesses grow, customers stay, and no one stops to think about why.

With 19 offices spanning six continents, we feel at home everywhere – but London is our HQ. Wherever our people work their magic, they’re fast-moving, performance-obsessed, and driven by being better every day. Ideal. Because a role here isn’t just another job; it’s a career-defining opportunity to build the future of fintech.

We're looking for an AI Engineer who brings fresh ideas, has a curious nature and is passionate about working in an Engineering environment which focuses on building products to achieve the company's strategic goals.

As a Software Engineer within Checkout.com’s AI Centre of Excellence, you will rapidly build and iterate on Generative AI solutions to transform how cross-functional teams operate. You will work with teams from across Checkout.com’s portfolio of products and services who all have a real customer first philosophy. You will design, build, and deploy AI solutions that enhance products and streamline business processes in collaboration with cross-functional teams. You will also be an avid user of coding agents and know how to get the most out of them.

How you’ll make an impact:

  • Partner with product managers, non-technical business users and engineers to research, validate, and deliver high-impact Generative AI use cases

  • Design and build user facing products that leverage AI capabilities for optimising internal workflows with a focus on adoption and user satisfaction

  • Build, deploy, measure and iterate on LLM-based applications (e.g., agents, knowledge extraction, automation solutions).

  • Develop end-to-end AI solutions on cloud platforms (AWS, GCP, or Azure) taking a build-it-yourself attitude to the entire development lifecycle including test suites, deployment pipelines (CICD), agent evaluations and observability

  • Design systems that continuously optimise performance, reliability, and scalability of AI systems

What we’re looking for:

  • Educational Background: Bachelor's or Master's degree in Computer Science, Engineering, or related field

  • AI & LLM Expertise: Hands-on experience with LLMs (e.g. GPT, Gemini, Claude Code) and applying them to real-world problems

  • Backend Proficiency: Strong backend engineering expertise, including RESTful APIs and micro-services design

  • Technical Stack: Proficiency in Python/JavaScript/Typescript and familiarity with AI frameworks (e.g., Lang Chain, PydanticAI and Google Agent Development Kit)

  • Cloud & Infrastructure: Solid understanding of cloud computing (AWS, GCP, or Azure), containerisation (Docker, Kubernetes), and Infrastructure-as-Code (Terraform)

  • Soft Skills: Proven problem-solving skills and ability to thrive in fast-paced environments, with excellent communication and collaboration skills across diverse teams

Preferred qualifications:

  • Proficiency in Python

  • Frontend development experience with JavaScript/TypeScript and frameworks such as React

  • Experience developing Generative AI applications, including model fine-tuning and prototyping

  • Awareness of ethical AI practices and emerging standards in AI governance

  • Track record of rapid prototyping with measurable ROI

  • Contributions to open-source projects or a strong GitHub portfolio

  • High technical curiosity and eagerness to learn new platforms

Additional Information Bring all of you to work

We create the conditions for high performers to thrive, through real ownership, fewer blockers, and work that makes a difference from day one.

Here, you’ll move fast, take on meaningful challenges, and be recognized for the impact you deliver. It’s a place where ambition gets met with opportunity, and where your growth is in your hands.

We work as one team, and we back each other to succeed. So whatever your background or identity, if you’re ready to grow and make a difference, you’ll be right at home here.

It’s important we 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.

Life atCheckout.com

We understand that work is just one part of your life. Our hybrid working model offers flexibility, with three days per week in the office to support collaboration and connection.

Curious about what it’s like to be part of our team? Visit our Careers Page to learn more about our culture, open roles, and what drives us.

For a closer look at daily life at Checkout.com, follow us on LinkedIn and Instagram

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关于Checkout.com

Checkout.com

Checkout.com

Series D

Checkout.com is a global payment processing platform that provides payment infrastructure and solutions for businesses to accept payments online and in-store. The company offers APIs and tools for payment processing, fraud prevention, and financial services integration.

1,001-5,000

员工数

London

总部位置

$40B

企业估值

评价

3.7

13条评价

工作生活平衡

3.7

薪酬

3.8

企业文化

3.9

职业发展

3.6

管理层

3.8

76%

推荐给朋友

优点

Opportunity for career growth

Supportive team and management

Competitive compensation and benefits

缺点

Work-life balance varies by team

Career progression could be clearer

Room for improvement in processes

薪资范围

0个数据点

L2

L3

L4

L5

L6

L2 · Financial Analyst L2

0份报告

$59,001

年薪总额

基本工资

$23,600

股票

$29,501

奖金

$5,900

$41,301

$76,701

面试经验

45次面试

难度

3.1

/ 5

时长

14-28周

录用率

35%

体验

正面 64%

中性 24%

负面 12%

面试流程

1

Phone Screen

2

Technical Interview

3

Hiring Manager

4

Team Fit

常见问题

Technical skills

Past experience

Team collaboration

Problem solving