At a Glance
- Tasks: Design and maintain AI SDKs while deploying innovative AI workloads in the cloud.
- Company: Leading tech firm in the UK with a focus on cutting-edge AI solutions.
- Benefits: Full-time role with competitive salary and opportunities for impactful work.
- Other info: Opportunity to make a significant impact on AI solution development.
- Why this job: Join a dynamic team and shape the future of AI technology.
- Qualifications: Experience with LangChain, cloud deployment in GCP or Azure, and strong documentation skills.
The predicted salary is between 55000 - 70000 £ per year.
A leading technology firm in the United Kingdom seeks a Mid-Senior level professional for internal SDK and tooling development.
- Key responsibilities include designing and maintaining SDKs, deploying AI workloads in cloud environments, and refining LLM orchestration strategies.
- Candidates should have experience with LangChain and cloud deployment in GCP or Azure, along with strong documentation skills.
This is a full-time role with the potential for significant impact on AI solution development.
AI Platform Engineer: Build AI SDKs & LLM Workflows employer: MBN Solutions
Join a leading technology firm in the UK that champions innovation and collaboration, offering a dynamic work culture where your contributions directly shape the future of AI solutions. With a strong focus on employee growth, you will have access to continuous learning opportunities and cutting-edge projects, all while enjoying a supportive environment that values creativity and teamwork.
StudySmarter Expert Advice🤫
We think this is how you could land AI Platform Engineer: Build AI SDKs & LLM Workflows
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working with AI SDKs or cloud deployments. 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 showcasing your work with LangChain and any cloud projects you've tackled. 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 documentation skills. Be ready to discuss how you’ve designed and maintained SDKs in the past. We want to see your thought process and how you tackle challenges!
✨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 take that extra step to connect with us directly.
We think you need these skills to ace AI Platform Engineer: Build AI SDKs & LLM Workflows
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with SDK development and cloud deployment. We want to see how your skills align with the role, so don’t be shy about showcasing your work with LangChain and any relevant projects you've tackled.
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 our team. We love seeing enthusiasm and a clear understanding of the role.
Show Off Your Documentation Skills:Since strong documentation skills are key for this role, consider including examples of your previous work or projects where you’ve created clear and concise documentation. This will help us see your attention to detail and communication skills.
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 gives you a chance to explore more about what we do at StudySmarter!
How to prepare for a job interview at MBN Solutions
✨Know Your SDKs Inside Out
Make sure you’re well-versed in the SDKs relevant to the role. Brush up on your experience with LangChain and be ready to discuss how you've designed or maintained SDKs in previous projects. This will show that you’re not just familiar with the tools, but that you can also contribute meaningfully from day one.
✨Cloud Deployment Expertise is Key
Since the job involves deploying AI workloads in cloud environments, be prepared to talk about your hands-on experience with GCP or Azure. Have specific examples ready that demonstrate your ability to deploy and manage AI solutions effectively in these platforms.
✨Show Off Your Documentation Skills
Strong documentation skills are a must for this role. Bring examples of your past documentation work to the interview, whether it’s API docs, user guides, or internal wikis. This will highlight your attention to detail and your understanding of the importance of clear communication in tech.
✨Prepare for LLM Orchestration Questions
Given the focus on refining LLM orchestration strategies, be ready to discuss your approach to managing and optimising LLM workflows. Think about challenges you've faced and how you overcame them, as well as any innovative solutions you've implemented.
