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- Tasks: Design and develop AI proofs of concept using Google AI technologies.
- Company: PE-backed organisation in Northampton with a focus on innovation.
- Benefits: Competitive day rate of £400 and hybrid working model.
- Why this job: Join a cutting-edge team and shape the future of AI solutions.
- Qualifications: Hands-on experience with Google AI and full-stack application development.
- Other info: Initial 12-week contract with potential for growth.
The predicted salary is between 32000 - 48000 £ per year.
A PE-backed organization in Northampton is seeking a Google AI Gemini Developer to support AI proof-of-concept initiatives. This mid-level role requires hands-on experience building solutions with Google AI, offering a hybrid working model of 2 days on-site.
Key responsibilities include:
- Designing AI proofs of concept
- Integrating full-stack applications
- Collaborating with enterprise teams
The contract offers a day rate of £400 for an initial 12-week period, with a start date of 9th or 16th January 2026.
Gemini AI Engineer - Hybrid, 2 Onsite/3 Remote, 12-Week in Northampton employer: Broster Buchanan
Contact Detail:
Broster Buchanan Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Gemini AI Engineer - Hybrid, 2 Onsite/3 Remote, 12-Week in Northampton
✨Tip Number 1
Network like a pro! Reach out to folks in the AI space, especially those who work with Google AI. A friendly chat can open doors and give you insights that might just land you that interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI proofs of concept and any full-stack applications you've built. This is your chance to shine and demonstrate what you can bring to the table.
✨Tip Number 3
Prepare for the interview by brushing up on your collaboration skills. Since this role involves working with enterprise teams, be ready to discuss how you’ve successfully worked in a team environment before.
✨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 take that extra step to connect with us directly.
We think you need these skills to ace Gemini AI Engineer - Hybrid, 2 Onsite/3 Remote, 12-Week in Northampton
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your hands-on experience with Google AI and any relevant projects you've worked on. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're excited about the Gemini AI Engineer role and how you can contribute to our AI proof-of-concept initiatives. Keep it engaging and personal!
Showcase Collaboration Skills: Since this role involves working with enterprise teams, make sure to mention any past experiences where you collaborated effectively. We love team players who can integrate well into our hybrid working model!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates!
How to prepare for a job interview at Broster Buchanan
✨Know Your Google AI Inside Out
Make sure you brush up on your knowledge of Google AI and the Gemini platform. Familiarise yourself with its features, capabilities, and any recent updates. Being able to discuss specific use cases or projects you've worked on will show that you're not just familiar with the technology but can also apply it effectively.
✨Showcase Your Full-Stack Skills
Since this role involves integrating full-stack applications, be prepared to discuss your experience in both front-end and back-end development. Bring examples of past projects where you’ve successfully built and integrated solutions, and be ready to explain your thought process and the challenges you faced.
✨Collaboration is Key
This position requires working closely with enterprise teams, so highlight your teamwork skills. Prepare examples of how you've collaborated with others in previous roles, especially in a hybrid work environment. Emphasise your communication style and how you ensure everyone is on the same page.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving abilities. Think about potential challenges you might face while designing AI proofs of concept and how you would tackle them. Practising these scenarios can help you articulate your thought process clearly during the interview.
