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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: Make a difference by delivering scalable AI solutions that empower teams.
- Qualifications: Experience with LangChain, cloud deployment, and strong documentation skills.
- Other info: Be part of a dynamic team focused on innovation and excellence.
The predicted salary is between 30000 - 50000 £ per year.
Overview
Scaling World-Class Data, AI & Analytics Leadership Teams | 20 Years in Retained Search | 3,000+ Hires | Helping Global Organisations Build the…
Focus
Focus: Internal SDK and tooling development
Reporting Line
Reporting Line: Engineering leadership
Success Metric
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
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AI Platform Engineer – UK (remote) 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)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working with AI and cloud technologies. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects related to SDKs, tooling, or AI solutions. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of LangChain, RAG, and cloud deployment. Be ready to discuss how you've tackled similar challenges in the past and how you can contribute to their team.
✨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)
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: Use your cover letter to tell us why you're passionate about AI and how your background makes you a great fit for the role. Be genuine and let your personality shine through!
Showcase Your Projects: If you've worked on any relevant projects, especially those involving LangChain or LLM orchestration, make sure to mention them. We love seeing practical examples of your work!
Apply Through Our Website: For the best chance of getting noticed, apply directly through our website. It helps us keep track of applications and ensures you’re considered for the role!
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 deploying AI workloads or refining prompt engineering.
✨Demonstrate Your Documentation Skills
Since producing high-quality documentation is key, be ready to talk about your approach to documentation. Share examples of how your documentation has helped teams adopt new tools or processes effectively.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the company’s AI initiatives and their engineering practices. This not only demonstrates your enthusiasm but also helps you gauge if the company aligns with your career goals.
