At a Glance
- Tasks: Design and implement scalable backend solutions using Node.js and Python.
- Company: Moody's Corporation, a leader in AI systems and technology.
- Benefits: Competitive salary, mentorship opportunities, and a dynamic work environment.
- Other info: Great career growth potential in a collaborative setting.
- Why this job: Join a team pushing the boundaries of AI and machine learning.
- Qualifications: Experience in software engineering with a focus on AI and backend development.
The predicted salary is between 60000 - 80000 € per year.
Moody's Corporation is seeking a Software Engineer specializing in AI systems to design and implement scalable, production-grade backend solutions using Node.js and Python. You will collaborate with data scientists and engineers to integrate cutting-edge machine learning techniques, focusing on large language models (LLMs) and AI-driven applications.
The role emphasizes optimizing systems for performance, reliability, and cost-effectiveness while mentoring junior team members within a dynamic environment in Greater London.
AI Backend Engineer — LLMs, GenAI & Scalable Systems in London employer: Moody's Corporation
Moody's Corporation is an exceptional employer that fosters a collaborative and innovative work culture, particularly for those passionate about AI and scalable systems. Located in Greater London, employees benefit from a vibrant tech community, ample opportunities for professional growth, and a commitment to mentoring, ensuring that every team member can thrive and contribute meaningfully to cutting-edge projects.
StudySmarter Expert Advice🤫
We think this is how you could land AI Backend Engineer — LLMs, GenAI & Scalable Systems in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working with AI and backend systems. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Node.js, Python, and LLMs. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding scalable systems. Practice common algorithms and system design questions to boost your confidence and impress the interviewers.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of exciting roles, and applying directly shows your enthusiasm. Plus, it’s a great way to get noticed by our hiring team!
We think you need these skills to ace AI Backend Engineer — LLMs, GenAI & Scalable Systems in London
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your experience with Node.js and Python in your application. We want to see how you've used these technologies in real projects, especially if you've worked on AI systems or scalable solutions.
Tailor Your Application:Don’t just send a generic CV! We love it when applicants tailor their applications to the job description. Mention your experience with large language models and any relevant machine learning techniques you've used.
Be Clear and Concise:When writing your application, keep it clear and to the point. We appreciate well-structured applications that make it easy for us to see your qualifications and fit for the role.
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It helps us keep track of applications and ensures you’re considered for the role!
How to prepare for a job interview at Moody's Corporation
✨Know Your Tech Stack
Make sure you’re well-versed in Node.js and Python, as these are crucial for the role. Brush up on your knowledge of scalable systems and be ready to discuss how you've implemented them in past projects.
✨Showcase Your AI Knowledge
Since the position focuses on large language models and AI-driven applications, prepare to talk about your experience with machine learning techniques. Bring examples of how you've integrated AI into backend solutions and the impact it had.
✨Prepare for System Optimisation Questions
Expect questions around performance, reliability, and cost-effectiveness. Think of specific instances where you optimised a system and be ready to explain your thought process and the results achieved.
✨Mentorship Mindset
As mentoring junior team members is part of the role, be prepared to discuss your approach to teamwork and mentorship. Share experiences where you’ve guided others and how you foster a collaborative environment.
