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Tenth Revolution Group
Applied AI EngineerTenth Revolution Group • City of London, ENG, GB
Applied AI Engineer

Applied AI Engineer

Tenth Revolution Group • City of London, ENG, GB
6 days ago
Job type
  • Permanent
Job description

Job Description

Applied AI Engineer - London - Up to £190,000 - Permanent

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A rare opportunity has risen for a Senior Applied AI Engineer to join a dedicated team at the heart of a leading global financial organisation's AI function.

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As a Senior Full Stack Applied AI Engineer, you will be responsible for designing, building and deploying innovative AI-powered applications across the full technology stack. You'll combine hands-on software engineering expertise with deep knowledge of modern AI frameworks, LLMs and agent technologies.

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The Role

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  • Translate business challenges and problem statements into working proofs of concept and production-grade AI solutions.
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  • Architect, develop and deploy AI-native applications leveraging Large Language Models (LLMs), agentic systems and multimodal AI technologies.
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  • Design, build and orchestrate intelligent agent workflows using the Gemini Enterprise Agent Platform, Agent Development Kit (ADK) and Agent2Agent (A2A) protocol.
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  • Develop and implement Retrieval-Augmented Generation (RAG) architectures, vector search capabilities and long-term agent memory solutions.
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  • Deploy, monitor and improve AI agents using Google's managed agent runtime and foundation models, including Gemini and Claude.
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  • Create intuitive, scalable user interfaces using modern front-end technologies such as React, Next.js and Svelte.
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  • Build robust backend services, APIs and orchestration frameworks to support AI-powered applications.
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  • Design and manage data architectures across SQL, NoSQL and vector database environments.
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  • Collaborate with business stakeholders to identify, prioritise and deliver AI use cases that generate measurable business value.
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  • Assess AI platforms, models and third-party technologies against criteria including performance, scalability, cost, latency, security and maintainability.
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  • Conduct model benchmarking, technical due diligence and framework evaluations to inform technology decisions.
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Skills & Experience

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  • Demonstrated experience designing, developing and deploying Applied AI and Generative AI solutions in production environments.
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  • Strong hands-on expertise with Large Language Models (LLMs), AI agents and modern orchestration frameworks.
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  • Experience working with Google Cloud AI services, particularly Gemini-based technologies and ecosystems.
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  • Advanced Python development skills, with exposure to TypeScript considered highly advantageous.
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  • Full-stack software engineering experience, with a strong emphasis on backend development, distributed systems and API design.
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  • Hands-on experience building applications using React, Next.js, Svelte or comparable modern front-end frameworks.
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  • Strong understanding of SQL, NoSQL and vector database technologies, including platforms such as PostgreSQL and Firestore.
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  • Proven experience implementing RAG architectures, prompt engineering techniques and AI model evaluation methodologies.
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  • Practical experience with containerisation and cloud-native technologies, including Docker, Kubernetes, CI/CD pipelines and Infrastructure as Code (IaC) tools such as Terraform.
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  • Strong problem-solving, stakeholder engagement and architectural design skills, with the ability to translate business requirements into scalable AI solutions.
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Why Apply?

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  • Impressive base salary of £190,000 with a strong 20% bonus structure.
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  • Great opportunity to work on genuinely innovative AI and agentic systems.
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  • Visa sponsorship available for UK-based candidates (must be exceptional)
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If you're driven and passionate about the new generation of Machine Learning and AI and want to play a pivotal role in developing the Generative AI function of a leading organisation, it'd be great to hear from you.

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Apply below or submit your CV at

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All candidates must be UK-based.

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Applied AI Engineer • City of London, ENG, GB

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