Applied AI Engineer

Applied AI Engineer Overview

This is a senior applied AI engineering opportunity within the AI function of a major global financial organisation. The role sits at the centre of a dedicated team and focuses on building innovative AI-powered products and services across the full technology stack. It is a permanent position based in London, with a salary of up to £190,000 and a strong bonus structure.

What you will do

• Convert business challenges and problem statements into working prototypes and production-ready AI solutions.
• Design, develop, and deploy AI-native applications that make use of large language models, agent-based systems, and multimodal AI capabilities.
• Build intelligent agent workflows using the Gemini Enterprise Agent Platform, the Agent Development Kit, and the Agent2Agent protocol.
• Create retrieval-augmented generation solutions, vector search features, and long-term memory mechanisms for AI agents.
• Deploy, monitor, and refine AI agents using Google-managed runtime services and foundation models, including Gemini and Claude.
• Develop modern, intuitive, and scalable front-end experiences using React, Next.js, Svelte, or similar technologies.
• Build backend services, APIs, and orchestration frameworks that support AI-driven applications.
• Design and manage data architectures across relational, non-relational, and vector database environments.
• Work closely with business stakeholders to identify, rank, and deliver AI use cases that produce measurable business outcomes.
• Assess AI platforms, models, and third-party tools against criteria such as performance, scalability, cost, latency, security, and long-term maintainability.
• Perform model benchmarking, technical due diligence, and framework evaluation to guide technology decisions.

What the role requires

• Substantial experience building and deploying applied AI or generative AI solutions in production environments.
• Deep hands-on knowledge of large language models, AI agents, and orchestration frameworks.
• Experience with Google Cloud AI services, particularly those in the Gemini ecosystem.
• Advanced Python development ability, with TypeScript seen as a significant advantage.
• Full-stack software engineering experience, especially in backend development, distributed systems, and API design.
• Practical experience with modern front-end frameworks such as React, Next.js, or Svelte.
• Strong understanding of SQL, NoSQL, and vector database technologies, including PostgreSQL and Firestore.
• Experience with retrieval-augmented generation, prompt engineering, and AI model evaluation techniques.
• Working knowledge of containerisation and cloud-native delivery practices, including Docker, Kubernetes, CI/CD pipelines, and infrastructure-as-code tools such as Terraform.
• Strong problem-solving, architectural thinking, and stakeholder engagement skills, with the ability to turn business needs into scalable AI solutions.
• This is a senior-level role, so the successful candidate should be comfortable operating with a high degree of ownership and technical influence.
• Applicants must be based in the UK.

What is on offer

• A base salary of up to £190,000.
• A 20% bonus arrangement.
• The chance to work on genuinely innovative AI and agentic systems.
• The opportunity to contribute directly to the development of a leading organisation’s generative AI capability.
• Visa sponsorship may be available for exceptional UK-based candidates.

How to apply

Interested candidates can apply through the job advert or send their CV directly to the email address provided in the posting.

The role is being handled by Nigel Frank International.

Degree Requirement: Not Specified

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