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Applied AI Engineer

Job in City Of London, Central London, Greater London, England, UK
Listing for: Tenth Revolution Group
Full Time position Listed on 2026-11-08
Job specializations:
Salary/Wage Range or Industry Benchmark: 190000 GBP Yearly GBP 190000.00 YEAR

Job Description & How to Apply Below

Location: City Of London

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

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.

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.

The Role
  • Translate business challenges and problem statements into working proofs of concept and production-grade AI solutions.
  • Architect, develop and deploy AI-native applications leveraging Large Language Models (LLMs), agentic systems and multimodal AI technologies.
  • Design, build and orchestrate intelligent agent workflows using the Gemini Enterprise Agent Platform, Agent Development Kit (ADK) and Agent2

    Agent (A2A) protocol.
  • Develop and implement Retrieval-Augmented Generation (RAG) architectures, vector search capabilities and long-term agent memory solutions.
  • Deploy, monitor and improve AI agents using Google's managed agent runtime and foundation models, including Gemini and Claude.
  • Create intuitive, scalable user interfaces using modern front-end technologies such as React, Next.js and Svelte.
  • Build robust backend services, APIs and orchestration frameworks to support AI-powered applications.
  • Design and manage data architectures across SQL, No

    SQL and vector database environments.
  • Collaborate with business stakeholders to identify, prioritise and deliver AI use cases that generate measurable business value.
  • Assess AI platforms, models and third-party technologies against criteria including performance, scalability, cost, latency, security and maintainability.
  • Conduct model benchmarking, technical due diligence and framework evaluations to inform technology decisions.
Skills & Experience
  • Demonstrated experience designing, developing and deploying Applied AI and Generative AI solutions in production environments.
  • Strong hands-on expertise with Large Language Models (LLMs), AI agents and modern orchestration frameworks.
  • Experience working with Google Cloud AI services, particularly Gemini-based technologies and ecosystems.
  • Advanced Python development skills, with exposure to Type Script considered highly advantageous.
  • Full-stack software engineering experience, with a strong emphasis on backend development, distributed systems and API design.
  • Hands-on experience building applications using React, Next.js, Svelte or comparable modern front-end frameworks.
  • Strong understanding of SQL, No

    SQL and vector database technologies, including platforms such as PostgreSQL and Firestore.
  • Proven experience implementing RAG architectures, prompt engineering techniques and AI model evaluation methodologies.
  • Practical experience with containerisation and cloud-native technologies, including Docker, Kubernetes, CI/CD pipelines and Infrastructure as Code (IaC) tools such as Terraform.
  • Strong problem-solving, stakeholder engagement and architectural design skills, with the ability to translate business requirements into scalable AI solutions.
Why Apply?
  • Impressive base salary of £190,000 with a strong 20% bonus structure.
  • Great opportunity to work on genuinely innovative AI and agentic systems.
  • Visa sponsorship available for UK-based candidates (must be exceptional)

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.

All candidates must be UK-based.

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