Software Engineer, AI Centre of Excellence

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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 optimizing 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 optimize 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 a 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 microservices design
Technical Stack: Proficiency in Python/JavaScript/TypeScript and familiarity with AI frameworks (e.g., LangChain, PydanticAI, Google Agent Development Kit)
Cloud & Infrastructure: Solid understanding of cloud computing (AWS, GCP, or Azure), containerization (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

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Company: Checkout.com

Apply for the Software Engineer, AI Centre of Excellence

Location: London

Job Description:

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 optimizing 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 optimize 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 a 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 microservices design
Technical Stack: Proficiency in Python/JavaScript/TypeScript and familiarity with AI frameworks (e.g., LangChain, PydanticAI, Google Agent Development Kit)
Cloud & Infrastructure: Solid understanding of cloud computing (AWS, GCP, or Azure), containerization (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

#J-18808-Ljbffr…

Posted: May 15th, 2026