At a Glance
- Tasks: Develop AI-powered applications and collaborate on innovative projects in a dynamic startup.
- Company: Exciting early-stage AI startup focused on intelligent software solutions.
- Benefits: Competitive salary, stock options, hybrid work, and opportunities for rapid growth.
- Other info: Fast-paced environment with a focus on learning and experimentation.
- Why this job: Join a passionate team and make a real impact in the AI space.
- Qualifications: Recent graduates or early career developers with AI project experience.
The predicted salary is between 35000 - 48000 € per year.
Permanent | Hybrid (3 days on-site) | £35,000-£48,000 | Stock Options
We have partnered with an early-stage AI startup building intelligent software for the maintenance, engineering, and industrial operations space. They’re looking for a proactive, confident Graduate Software Developer to join the team and grow alongside the business as they scale their AI-driven platform. This is a strong opportunity for someone early in their career who has already started building with AI outside of university or commercial work, whether through personal projects, open-source contributions, hackathons, internships, or production deployments. The team care far more about curiosity, initiative, and evidence of building than perfect commercial experience.
What you’ll be working on:
- Supporting development of AI-powered applications and workflow tooling
- Building backend services, APIs, and integrations
- Working with LLMs, AI agents, RAG pipelines, embeddings, and prompt workflows
- Contributing to frontend product functionality and internal tooling
- Helping improve AI outputs, reliability, and user experience
- Collaborating closely with experienced engineers and founders on real production systems
- Learning how AI products are designed, deployed, monitored, and scaled in live customer environments
Tech environment:
- Python (~60% of existing codebase)
- TypeScript / JavaScript
- Node.js / FastAPI
- AWS > Potential to move to GCP
- REST APIs
- AI agents / RAG / vector databases
- Modern LLM tooling
They’re looking for someone who:
- Has recently graduated or is early in their software engineering career
- Has built AI or LLM-related projects either commercially, academically, or personally
- Enjoys learning quickly and experimenting with new technologies
- Has a solid software engineering foundation across backend or fullstack development
- Is excited by startups, ownership, and solving real-world problems
- Communicates well and enjoys collaborative environments - willing to give input and not only take direction
Examples of experience they’d value:
- AI side projects
- Chatbots or AI agents
- RAG pipelines
- Prompt engineering
- Open-source contributions
- Hackathons
- Production deployments
- Personal tools built with OpenAI/Anthropic APIs
- GitHub portfolios showing experimentation and curiosity
This would suit someone who genuinely enjoys building, experimenting, and learning fast within an AI-first startup environment.
Graduate AI Engineer in Gloucester employer: Digital Gurus
Join an innovative early-stage AI startup that values curiosity and initiative over traditional experience, offering a dynamic hybrid work environment in a collaborative culture. With opportunities for personal growth and the chance to work closely with experienced engineers, you'll be at the forefront of developing cutting-edge AI solutions while enjoying benefits like stock options and a supportive team atmosphere. This role is perfect for those eager to make a meaningful impact in the tech industry and grow alongside a rapidly scaling company.
StudySmarter Expert Advice🤫
We think this is how you could land Graduate AI Engineer in Gloucester
✨Tip Number 1
Network like a pro! Reach out to people in the AI field, attend meetups, and connect with alumni from your university. You never know who might have a lead on that perfect Graduate AI Engineer role.
✨Tip Number 2
Show off your projects! Whether it's a personal AI project or something from a hackathon, make sure you can talk about it passionately. This is your chance to demonstrate your curiosity and initiative, which are key for startups.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding AI concepts. Practice common algorithms and data structures, and be ready to discuss how you've applied them in your projects.
✨Tip Number 4
Apply through our website! We love seeing candidates who take the initiative to reach out directly. Plus, it gives us a chance to see your enthusiasm for joining our team and contributing to exciting AI projects.
We think you need these skills to ace Graduate AI Engineer in Gloucester
Some tips for your application 🫡
Show Your Passion for AI:When you're writing your application, let your enthusiasm for AI shine through! Share any personal projects or experiences that showcase your curiosity and initiative in the field. We want to see how you've engaged with AI beyond just your studies.
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter for this role. Highlight relevant skills and experiences that align with what we're looking for, like your work with LLMs or any hackathons you've participated in. This helps us see how you fit into our team!
Be Authentic:Don't be afraid to let your personality come through in your application. We value communication and collaboration, so sharing your unique perspective and approach can really make you stand out. Just be yourself, and let us know why you're excited about this opportunity!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us that you’re proactive and keen to join our team!
How to prepare for a job interview at Digital Gurus
✨Show Off Your Projects
Make sure to bring examples of your AI projects, whether they’re from university, personal work, or hackathons. Discuss what you built, the challenges you faced, and how you overcame them. This will demonstrate your initiative and curiosity, which are key traits the company values.
✨Brush Up on Relevant Tech
Familiarise yourself with the technologies mentioned in the job description, like Python, TypeScript, and AWS. If you’ve worked with LLMs or RAG pipelines, be ready to talk about your experience. Showing that you understand their tech stack will impress the interviewers.
✨Be Ready to Collaborate
Since the role involves working closely with experienced engineers, prepare to discuss how you approach teamwork. Share examples of how you’ve contributed in collaborative settings, whether in group projects or open-source contributions. Highlighting your communication skills will show you’re a good fit for their team culture.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s AI products and their development process. This shows your genuine interest in the role and helps you gauge if the startup environment is right for you. Asking about their challenges and future plans can also spark engaging conversations during the interview.
