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For Companies At a Glance
- Tasks: Design and build AI systems that impact millions of users across various industries.
- Company: Join a high-growth AI scale-up focused on innovative technology.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Why this job: Work on cutting-edge AI products and make a real difference in the tech landscape.
- Qualifications: Strong software engineering skills and a passion for AI applications.
- Other info: Dynamic team environment with real ownership of projects.
The predicted salary is between 60000 - 80000 £ per year.
A high-growth AI and analytics scale-up is building next-generation intelligent systems that help global enterprises better understand and act on customer behaviour at scale. This is an opportunity to join a deeply technical, product-focused engineering team working on real-world, production AI systems — not just prototypes — leveraging LLMs, agentic workflows, and modern cloud infrastructure.
You’ll play a key role in bridging the gap between software engineering and applied AI, building systems that directly impact millions of users across multiple industries.
As an AI Engineer, you’ll design, build, and deploy agent-driven software systems that turn cutting-edge AI capabilities into reliable, scalable products. This is a hands-on, end-to-end role, covering everything from prototyping through to production deployment and iteration.
Key Responsibilities- Build scalable, production-grade agentic systems and AI-powered applications
- Design and develop end-to-end features from concept to deployment
- Develop and maintain data pipelines, APIs, and CI/CD workflows
- Work closely with product and design teams to deliver user-facing functionality
- Apply best practices across performance, scalability, and maintainability
- Contribute to technical discussions, code reviews, and knowledge sharing
- Core Requirements
- Strong software engineering fundamentals (SDLC, testing, system design)
- Experience taking products from development → production
- Familiarity with cloud infrastructure and deployment pipelines
- Exposure to or strong interest in agentic systems / LLM applications
- Product mindset — focused on impact, iteration, and delivery
- Curious, adaptable, and comfortable working in an evolving AI landscape
- Nice to Have
- Experience with data pipelines or data engineering
- Understanding of large language models (LLMs) and real-world applications
- Exposure to modern AI tooling, agents, or workflow orchestration frameworks
You’ll work across a modern, AI-first stack including:
- Agent Frameworks: MCP (Model Context Protocol), agent-to-agent systems, emerging agent tooling
- Frontend: TypeScript, React, Next.js
- Backend: Python, Node.js
- Data & ML Platform: Databricks
- Infrastructure: AWS, Docker, Kubernetes
- Build production AI systems at scale (not just experimentation)
- Work on agentic / LLM-first products at the forefront of industry evolution
- Join a high-growth environment with strong technical leadership
- Real ownership across the full lifecycle of AI-powered features
Artificial Intelligence Engineer in City of London employer: Intent HQ
Contact Detail:
Intent HQ Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Artificial Intelligence Engineer in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the AI field on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream job.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to agentic systems or LLM applications. We want to see what you can do, so make it easy for potential employers to check out your work.
✨Tip Number 3
Prepare for technical interviews by brushing up on your software engineering fundamentals. We recommend practicing coding challenges and discussing your thought process out loud, as this can really impress interviewers.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Artificial Intelligence Engineer in City of London
Some tips for your application 🫡
Show Your Passion for AI: When writing your application, let your enthusiasm for AI and agentic systems shine through. We want to see how your interests align with our mission of building next-gen intelligent systems that make a real impact.
Highlight Relevant Experience: Make sure to showcase any experience you have with software engineering, cloud infrastructure, or LLM applications. We’re looking for candidates who can bridge the gap between software and applied AI, so don’t hold back on your relevant skills!
Be Clear and Concise: Keep your application straightforward and to the point. We appreciate clarity, so avoid jargon and focus on what makes you a great fit for the role. Remember, we’re keen on seeing how you can contribute to our team!
Apply Through Our Website: We encourage you to submit your application directly through our website. It’s the best way for us to receive your details and ensures you’re considered for this exciting opportunity in our high-growth environment.
How to prepare for a job interview at Intent HQ
✨Know Your AI Fundamentals
Brush up on your software engineering fundamentals, especially around the SDLC, testing, and system design. Be ready to discuss how these principles apply to building scalable, production-grade agentic systems.
✨Showcase Your Hands-On Experience
Prepare to share specific examples of projects where you've taken products from development to production. Highlight your experience with cloud infrastructure and deployment pipelines, as this will resonate well with the technical team.
✨Familiarise Yourself with the Tech Stack
Get comfortable with the technologies mentioned in the job description, like Python, Node.js, and AWS. If you have experience with agent frameworks or LLM applications, be sure to bring that up during the interview.
✨Demonstrate a Product Mindset
Be ready to discuss how you approach product development with a focus on impact, iteration, and delivery. Show your curiosity and adaptability, especially in the evolving AI landscape, as this is key for the role.