AI Engineer
Job in
Greater London, London, Greater London, W1B, England, UK
Listed on 2026-10-26
Listing for:
0026 Checkout Technology Ltd
Full Time
position Listed on 2026-10-26
Job specializations:
-
Software Development
AI Engineer (Applied/Software), Cloud Engineer - Software, Machine Learning/ ML Engineer
Job Description & How to Apply Below
We’re looking for an AI Engineer who brings fresh ideas, has a curious nature and is passionate about working in an Engineering environment that focuses on building products to achieve the company's strategic goals.
As a Software Engineer within ’s AI Centre of Excellence, you will rapidly build and iterate on Generative AI solutions to transform how cross‑functional teams operate.
Responsibilities- 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 (CI/CD), agent evaluations, and observability.
- Design systems that continuously optimise performance, reliability, and scalability of AI systems.
- 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) 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, Type Script, and familiarity with AI frameworks (e.g., Lang Chain, Pydantic, 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.
- Proficiency in Python.
- Frontend development experience with JavaScript/Type Script 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 Git Hub portfolio.
- High technical curiosity and eagerness to learn new platforms.
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