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For Companies At a Glance
- Tasks: Design and build internal SDKs and tools to supercharge AI development.
- Company: Join a leading firm in data, AI, and analytics with a global impact.
- Benefits: Enjoy remote work, competitive salary, and opportunities for professional growth.
- Why this job: Be at the forefront of AI innovation and make a real difference.
- Qualifications: Experience with LangChain, cloud deployment, and strong documentation skills.
- Other info: Dynamic team environment with excellent career advancement potential.
The predicted salary is between 36000 - 60000 £ per year.
Overview
Focus: Internal SDK and tooling development
Success Metric: Delivering robust, scalable AI solutions that empower teams to build quickly and effectively
Key Responsibilities
- Design, build, and maintain internal SDKs, tooling, and frameworks to accelerate AI solution development.
- Implement modular, versioned components that ensure maintainability and reusability.
- Deploy and optimise AI workloads in cloud environments (GCP/Azure).
- Develop observability, monitoring, and audit tooling for AI applications.
- Experiment with and refine prompt engineering and LLM orchestration strategies.
- Produce high-quality documentation to enable adoption across internal teams.
Key Skills
- Experience with LangChain, Retrieval-Augmented Generation (RAG), and LLM orchestration.
- Skilled in cloud deployment (GCP or Azure).
- Familiarity with observability, monitoring, and audit practices.
- Strong focus on SDK modularity, versioning, and documentation.
Seniority level: Mid-Senior level
Employment type: Full-time
Job function: Information Technology
Industries: Telephone Call Centers
AI Platform Engineer – UK (remote) in London employer: MBN Solutions
Contact Detail:
MBN Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Platform Engineer – UK (remote) in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those related to AI solutions and cloud deployments. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to SDK development and AI tooling. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨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 seeing candidates who are proactive about their job search!
We think you need these skills to ace AI Platform Engineer – UK (remote) in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your experience with SDKs, cloud deployment, and any relevant AI projects to catch our eye!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about AI and how your background makes you a perfect fit for the role. Don’t forget to mention specific projects or tools you've worked with.
Showcase Your Projects: If you've got any personal or professional projects related to AI, SDK development, or cloud environments, make sure to include them. We love seeing practical examples of your work and how you tackle challenges!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands and shows us you’re serious about joining our team!
How to prepare for a job interview at MBN Solutions
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, like LangChain and cloud platforms such as GCP or Azure. Brush up on your knowledge of SDK modularity and versioning, as these are crucial for the role.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've designed or optimised AI solutions. Think about challenges you've faced in previous projects and how you tackled them, especially in terms of tooling development and deployment.
✨Demonstrate Your Documentation Skills
Since producing high-quality documentation is key, be ready to talk about your approach to documentation. Bring examples if possible, and explain how your documentation has helped teams adopt new tools or processes.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s current AI projects and their future direction. This shows your genuine interest in the role and helps you understand how you can contribute to their success.