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- Tasks: Join a research project to share your AI API integration experiences.
- Company: Innovative tech firm focused on AI and cloud solutions.
- Benefits: Flexible remote work, competitive pay, and opportunities for professional growth.
- Other info: Engage in dynamic research tasks with potential for career advancement.
- Why this job: Make an impact by sharing your expertise in cutting-edge AI technologies.
- Qualifications: Experience with AI APIs and cloud platforms is essential.
The predicted salary is between 60000 - 80000 £ per year.
We are inviting software developers, system administrators, and other technical professionals who work with AI models via cloud platforms to participate in an upcoming research project. We want to learn about your real‑world experience integrating AI APIs into applications and workflows.
This project is open to a broad range of practitioners, including:
- Developers and system administrators integrating Claude (Anthropic), OpenAI (GPT models) and Google Gemini via Amazon Bedrock, Google Cloud Vertex AI, or Microsoft Azure AI
- Developers and system administrators working with other leading AI APIs via cloud platforms or direct API access
Please note: This is a "bench" model. By verifying your credentials, you gain eligibility for high‑level research tasks as they become available. Access is based on project demand and professional profile matching.
What You’ll Bring
- Active experience as a software developer or system administrator working with AI APIs in a professional context
- Hands‑on integration of AI models via cloud platforms (e.g. Amazon Bedrock, Google Cloud Vertex AI, Microsoft Azure AI) or direct API access
- Practical knowledge of embedding AI capabilities (such as Claude, GPT, or Gemini models) into applications or automated workflows
- Comfort discussing technical implementation details, challenges, and decisions in your day‑to‑day work
What You'll Be Doing
- Complete a paid screener to help us assess your background and suitability for specific research tasks
- Participate in AI‑moderated interviews via Listen Labs (primary research method)
- In some cases, take part in live interviews with the research team
Nice To Have
- Familiarity with multiple AI providers or models in the same workflow or organisation
- Experience with RAG pipelines, fine‑tuning, prompt engineering, or AI agent frameworks
- Involvement in evaluating or selecting AI platforms for enterprise use
Cloud AI API Integrations – Subject Matter Expert - Cardiff employer: Prolific Academic Ltd
Contact Detail:
Prolific Academic Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Cloud AI API Integrations – Subject Matter Expert - Cardiff
✨Tip Number 1
Network like a pro! Reach out to fellow developers and system administrators in your field. Join online forums or local meetups to share experiences and learn about potential job openings. Remember, sometimes it's not just what you know, but who you know!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects involving AI API integrations. Whether it’s a GitHub repo or a personal website, having tangible examples of your work can really set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your hands-on experience with cloud platforms like Amazon Bedrock or Google Cloud Vertex AI. We want to hear about the challenges you faced and how you overcame them!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love hearing from passionate candidates who are eager to contribute to exciting research projects.
We think you need these skills to ace Cloud AI API Integrations – Subject Matter Expert - Cardiff
Some tips for your application 🫡
Show Off Your Experience: When you're filling out your application, make sure to highlight your hands-on experience with AI APIs. We want to see how you've integrated models like Claude or GPT into your workflows, so don’t hold back on the details!
Be Specific About Your Skills: Use clear examples to demonstrate your technical skills. If you've worked with cloud platforms like Amazon Bedrock or Google Cloud Vertex AI, let us know! The more specific you are, the better we can understand your fit for the role.
Keep It Professional Yet Personal: While we love a professional tone, don’t be afraid to let your personality shine through. Share your passion for AI and tech in your application – it helps us get to know you better!
Apply Through Our Website: Make sure to submit your application through our website. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. We can’t wait to hear from you!
How to prepare for a job interview at Prolific Academic Ltd
✨Know Your APIs Inside Out
Make sure you’re well-versed in the AI APIs you’ve worked with, like Claude, OpenAI, or Google Gemini. Be ready to discuss specific projects where you integrated these models and the challenges you faced. This will show your hands-on experience and technical knowledge.
✨Showcase Your Problem-Solving Skills
Prepare to talk about real-world problems you encountered while integrating AI capabilities into applications. Highlight how you approached these challenges and the solutions you implemented. This demonstrates your critical thinking and adaptability.
✨Familiarise Yourself with the Company’s Work
Do a bit of homework on the company’s research projects and their focus areas. Understanding their goals and how your experience aligns with their needs can give you an edge in the conversation. It shows genuine interest and preparation.
✨Practice Technical Discussions
Since the role involves discussing technical implementation details, practice articulating your thoughts clearly. You might want to run through common technical questions or scenarios with a friend or colleague to build confidence in your responses.