At a Glance
- Tasks: Deploy AI systems and automate processes across various departments.
- Company: Fast-moving deep-tech company revolutionising the industrial sector.
- Benefits: Competitive salary, remote work, and opportunities for growth.
- Other info: Ideal for graduates or early-career professionals from top universities.
- Why this job: Join a cutting-edge team and make a real impact with AI technology.
- Qualifications: Experience with AI tools and strong technical skills required.
The predicted salary is between 70000 - 80000 £ per year.
We're working with a fast-moving deep-tech company building category-defining hardware in one of the largest industrial sectors in the world. To move faster than anyone else, they are aggressively integrating AI across every layer of the business, from engineering and finance to operations and outreach.
They need a highly technical, systems-minded operator who lives and breathes AI tools and knows how to deploy them at scale inside a real company. This is not a "prompt engineer" role. This is about building real systems that drive leverage across the business.
Responsibilities of the role:- Deploy AI systems across the company, building and managing agent workflows with tools like Claude Code, Codex and similar, and automating internal processes across engineering, finance, operations and outreach.
- Build agent-driven infrastructure, designing multi-agent systems that execute end-to-end (research, modelling, outreach) and managing local and distributed compute (e.g. Mac Mini clusters).
- Own the automation stack, implementing workflows with Clay, n8n, OpenClaw and similar, and integrating APIs, databases and internal tools into cohesive systems.
- Drive internal leverage, identify bottlenecks, and eliminate them using AI, so small teams can operate like much larger ones.
- Deep hands-on experience with Claude Code, OpenAI Codex (or similar), Clay, n8n, and OpenClaw (or equivalent agent frameworks).
- A proven track record of building real AI systems (not just demos), deploying multi-step automated workflows, and running agents in production.
- Strong technical ability. Comfortable with APIs, scripting and system design, and able to debug and iterate quickly.
- Graduate or early-career, ideally from a top university (Oxford, Cambridge, MIT, Imperial, or similar) with a background in Mathematics, Computer Science, Physics, Engineering or related.
- Exceptionally sharp, fast-moving, intellectually curious. You use AI tools every day and push them to their limits.
- Ideally with experience building autonomous research agents that gather, synthesise and structure data at scale, fully automated outbound pipelines (sourcing, enrichment, messaging, follow-up), and AI-driven financial modelling workflows.
If you think this role could be a good fit, send your CV and any work examples over and we can set up a call.
AI Applications Specialist in Cheltenham employer: Digital Waffle
Join a pioneering deep-tech company that is at the forefront of AI integration within one of the largest industrial sectors globally. With a strong emphasis on innovation and collaboration, this remote role offers competitive salaries and the opportunity to work with cutting-edge technology in a dynamic environment. The company fosters a culture of continuous learning and growth, empowering employees to push the boundaries of AI applications while enjoying the flexibility of remote work.
StudySmarter Expert Advice🤫
We think this is how you could land AI Applications Specialist in Cheltenham
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. We all know that sometimes it’s not just what you know, but who you know that can get you in the door.
✨Tip Number 2
Show off your skills! Create a portfolio or a GitHub repository showcasing your AI projects. We want to see what you can do, so make sure to highlight any real systems you've built or automated workflows you've implemented.
✨Tip Number 3
Prepare for those interviews! Research the company and their AI applications. We recommend practising common technical questions and being ready to discuss how you’ve tackled challenges in your previous roles.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who take the initiative to engage directly with us.
We think you need these skills to ace AI Applications Specialist in Cheltenham
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the role of AI Applications Specialist. Highlight your experience with AI tools like Claude Code and OpenAI Codex, and showcase any projects where you've built real systems, not just demos.
Showcase Your Technical Skills:We want to see your technical prowess! Include specific examples of how you've deployed multi-step automated workflows or managed agent-driven infrastructure. The more detail, the better!
Include Relevant Work Examples:If you have any work examples that demonstrate your ability to build and manage AI systems, don’t hold back! Attach them to your application to give us a clearer picture of your capabilities.
Apply Through Our Website:For the best chance of getting noticed, make sure to apply through our website. It helps us keep track of applications and ensures you’re considered for this exciting opportunity!
How to prepare for a job interview at Digital Waffle
✨Know Your AI Tools Inside Out
Make sure you’re well-versed in the specific AI tools mentioned in the job description, like Claude Code and OpenAI Codex. Prepare to discuss your hands-on experience with these tools and how you've deployed them in real-world scenarios.
✨Showcase Your Problem-Solving Skills
Be ready to share examples of how you've identified bottlenecks in processes and used AI to eliminate them. Think of specific instances where your interventions made a significant impact on efficiency or productivity.
✨Demonstrate Technical Proficiency
Brush up on your technical skills, especially around APIs, scripting, and system design. You might be asked to solve a technical problem on the spot, so practice explaining your thought process clearly and concisely.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to design multi-agent systems or automate workflows. Practice articulating your approach to building these systems, including the challenges you might face and how you'd overcome them.
