Senior AI Engineer

0026 Checkout Technology Ltd; Greater London; On-site; GBP 85,000 - 110,000; Full time

Job summary

0026 Checkout Technology Ltd is seeking a Senior AI Engineer to lead generative AI initiatives that enhance products and processes. This role involves collaborating with product managers and engineers to deliver impactful Generative AI solutions.

The ideal candidate will have hands-on experience with LLMs, strong backend engineering skills, and proficiency in cloud computing. The position offers a dynamic environment focused on innovation and advanced AI applications.

Qualifications

• 5+ years of experience with LLMs and real-world applications.
• Strong backend engineering skills in RESTful APIs and microservices.
• Proficiency in Python or JavaScript and AI frameworks.
• Solid understanding of cloud systems and containerisation.

Responsibilities

• Lead generative AI initiatives and mentor peers.
• Partner with teams to deliver impactful AI use cases.
• Develop LLM-based applications including chatbots.
• Architect scalable AI infrastructure on cloud platforms.
• Implement CI/CD pipelines for AI deployment.

Skills

Hands-on experience with LLMs

Backend engineering expertise

Proficiency in Python/JavaScript

Cloud computing knowledge

Problem-solving skills

Excellent communication and collaboration

Tools

AWS

GCP

Azure

Docker

Kubernetes

Terraform

Job description

Senior AI Engineer – AI Centre of Excellence

About the role

Lead generative AI initiatives, mentor peers, set engineering standards, and design and deploy AI solutions to enhance products and processes.

Responsibilities

• Partner with product managers, data scientists, and engineers to research, validate, and deliver high‑impact Generative AI use cases.
• Design and build APIs and microservices that integrate AI capabilities into internal and external workflows.
• Develop, fine‑tune, and deploy LLM‑based applications (e.g., chatbots, assistants, knowledge extraction tools).
• Architect scalable AI infrastructure on cloud platforms (AWS, GCP, or Azure), leveraging containerisation and IaC.
• Implement CI/CD pipelines and enforce best practices for secure, compliant AI deployment.
• Build intuitive interfaces that enable teams to interact effectively with AI‑driven features.
• Continuously optimise performance, reliability, and scalability of AI systems.

Qualifications

• Hands‑on experience with LLMs (such as GPT, BERT, Llama, Gemini) and applying them to real‑world problems.
• Strong backend engineering expertise, including RESTful APIs and micro‑services design.
• Proficiency in Python/JavaScript and familiarity with AI frameworks (e.g., LangChain, Pydantic).
• Solid understanding of cloud computing (AWS, GCP, or Azure), containerisation (Docker, Kubernetes) and Infrastructure‑as‑Code (Terraform).
• Proven problem‑solving skills and ability to thrive in fast‑paced environments.
• Excellent communication and collaboration skills across diverse teams.

Preferred Qualifications

• Proficiency in C# or Java.
• Front‑end 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.
• Familiarity with distributed systems and large‑scale data processing.
• Contributions to open‑source projects or a strong GitHub portfolio.
• High technical curiosity and eagerness to learn new platforms.
• Experience in the payments industry (strong plus).