VP of Engineering - Cloud, AI, and Microservices. London, United Kingdom (London)
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Lead engineering teams in executing client projects, ensuring high quality, timely delivery.
Guide clients through technical decisions, helping them adopt modern architectures, cloud platforms (AWS, Azure), andAI-driven solutions.
Provide hands-on leadership in system design, development, and deployment, particularly with cloud-based systems,Microservices, and AI integrations.
Oversee LLM (Large Language Model) integration, leveraging models like GPT, and implement advanced AIarchitectures such as Retrieval-Augmented Generation (RAG) and Reinforcement Learning with HumanFeedback (RLHF).
Lead the development of applications using React, .NET, Python, or Node.js, ensuring scalable, maintainable, andperformant solutions.
Manage and mentor engineering managers, leads, and developers, fostering a culture of excellence and continuous learning.
Ensure the team adheres to best practices in coding, architecture, testing, and deployment.
Project Delivery & Client Satisfaction:
Ensure client projects meet deadlines, scope, and quality standards while managing resources effectively.
NET (C#), Python (Django, Flask), or Node.js (Express.js), with hands-on experience buildingbackend systems and APIs with experience on React for front-end development.
Deep knowledge of cloud technologies (AWS, Azure) and experience deploying cloud-native applications and Microservices architectures.
Strong background in AI integration, specifically LLM technologies, RAG, and RLHF architectures, and the ability to apply these in client-facing solutions.
Solid understanding of system design principles, including scalability, high availability, performance and security.
Proven experience managing engineering teams and leading client engagements, balancing technical leadership withclient-facing responsibilities.
Ability to prioritize and manage multiple projects in a fast-paced, client-driven environment.
- Location:
- London
- Job Type:
- FullTime
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