Applied AI Engineer

Tenth Revolution Group; City Of London; On-site; GBP 171,000 - 209,000; Full time

Job summary

Tenth Revolution Group in London is seeking a Senior Applied AI Engineer to design, build and deploy AI-powered applications across the full tech stack. You will combine hands-on software engineering with deep knowledge of modern AI frameworks, LLMs and agent technologies.

Responsibilities include translating business challenges into proofs of concept, deploying AI-native apps, managing data architectures, and collaborating with stakeholders to deliver measurable business value.

Qualifications

• Production-grade Applied AI solutions in live environments.
• Hands-on with LLMs, AI agents and orchestration frameworks.
• Experience with Google Cloud Gemini ecosystems and services.

Responsibilities

• Translate business challenges into proofs of concept and production AI solutions.
• Architect and deploy AI-native applications across the stack.
• Design intelligent agent workflows and RAG architectures.
• Develop data architectures for SQL/NoSQL and vector stores.
• Collaborate with stakeholders to deliver measurable business value.

Skills

Applied AI

Generative AI

LLMs

AI Agents

Python

TypeScript

Full-stack

API Design

React

Next.js

SQL

NoSQL

Vector DB

Docker

Kubernetes

CI/CD

Terraform

IaC

Gemini Platform

Tools

Gemini Enterprise Agent Platform

ADK

A2A Protocol

Google Cloud AI

Claude

Job description

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 Agent2Agent (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, NoSQL 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 TypeScript 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, NoSQL 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.