At a Glance
- Tasks: Design and implement AI-driven backend systems using Node.js and Python.
- Company: Join Moody's, a leader in innovative tech solutions.
- Benefits: Competitive salary, health benefits, and opportunities for remote work.
- Other info: Dynamic team environment with mentorship and career growth opportunities.
- Why this job: Work on cutting-edge AI projects that make a real-world impact.
- Qualifications: 3+ years in backend development with Node.js and AI applications.
The predicted salary is between 60000 - 80000 £ per year.
Skills and Competencies
- 3+ years of experience in backend software development with a focus on Node.js, building scalable and production-grade systems.
- Hands-on experience with AI applications, including LLM implementations, retrieval-augmented generation, prompt optimization, and fine-tuning methodologies.
- Proven ability to optimize systems for latency, cost, and reliability, and to take AI agents from research to production.
- Strong knowledge of cloud platforms (e.g., AWS, GCP, Azure), containerization technologies (e.g., Docker, ECS, Kubernetes), and MLOps practices.
- Proficiency in databases (e.g., PostgreSQL, MongoDB) and caching systems (e.g., Redis, Memcached) for scalable data storage and retrieval.
- Familiarity with Python for collaborating on machine learning workflows and integrating Python-based AI tools is preferred.
- Excellent problem-solving skills, with the ability to navigate ambiguity and deliver impactful solutions aligned with business goals.
- Effective communication and collaboration skills, with demonstrated experience working across cross-functional teams.
Education
- Bachelor’s degree or higher in Computer Science, Software Engineering, or a related field.
Responsibilities
- As a Software Engineer specializing in AI systems, you will play a key role in designing and implementing production-grade software solutions that leverage cutting-edge machine learning techniques, including large language models (LLMs), natural language processing systems (NLP), and AI agents.
- Your primary focus will be building scalable, efficient, and maintainable backend systems using Node.js & Python, while also integrating machine learning workflows and AI-driven applications.
- You will work closely with data scientists, machine learning engineers, and other stakeholders to develop robust platforms capable of supporting advanced AI capabilities.
- Design and implement AI-driven backend systems using Node.js, creating APIs and services to support applications such as NLP, search, recommendation systems, and AI agents.
- Build and integrate large language model (LLM) applications and AI agents using techniques such as retrieval-augmented generation, prompt optimization, fine-tuning, and reinforcement learning.
- Develop end-to-end pipelines for data ingestion, feature engineering, model inference (batch and real-time), and integration of AI-driven workflows into production systems.
- Collaborate with data scientists and machine learning engineers to ensure seamless integration of machine learning practices in Gen AI.
- Optimize backend systems for latency, scalability, and cost, applying caching, load balancing, and other performance techniques to support high-volume inference workloads.
- Advocate for and implement MLOps best practices, including monitoring, logging, tracing, automated retraining, and model/prompt versioning to ensure robust and reliable AI systems.
- Build reusable platforms or frameworks that streamline the deployment and monitoring of AI agents and machine learning models.
- Lead the implementation of autonomous agents capable of multi-step reasoning, decision-making, and tool use in production environments.
- Participate in design reviews, write high-quality code, and contribute to documentation to ensure team-wide efficiency and maintainability.
- Mentor junior engineers and collaborate across disciplines to drive impactful solutions while aligning system design with business outcomes.
Software Engineer- AI & Node.js in London employer: 慨正橡扯
At Moody's, we pride ourselves on fostering a dynamic and inclusive work environment where innovation thrives. As a Software Engineer focusing on AI and Node.js, you'll have the opportunity to work with cutting-edge technologies while collaborating with talented professionals across various disciplines. Our commitment to employee growth is evident through mentorship programmes and continuous learning opportunities, making Moody's an exceptional place for those seeking meaningful and rewarding careers in technology.
StudySmarter Expert Advice🤫
We think this is how you could land Software Engineer- AI & Node.js in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people 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 involving Node.js and AI applications. 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 common technical questions related to backend development and AI. Practice coding challenges and be ready to discuss your past experiences and how they relate to the role.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Software Engineer- AI & Node.js in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Node.js and AI applications. We want to see how you've built scalable systems and tackled real-world problems, so don’t hold back on those details!
Showcase Your Projects:Include any relevant projects that demonstrate your skills in backend development and AI. If you've worked on LLM implementations or MLOps practices, let us know! This is your chance to shine.
Be Clear and Concise:When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to understand and directly related to the role. Avoid jargon unless it's necessary!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at 慨正橡扯
✨Know Your Tech Stack
Make sure you’re well-versed in Node.js and AI applications. Brush up on your experience with LLM implementations and retrieval-augmented generation. Be ready to discuss specific projects where you optimised systems for latency and reliability.
✨Showcase Your Problem-Solving Skills
Prepare examples that highlight your ability to navigate ambiguity and deliver impactful solutions. Think of scenarios where you tackled complex problems, especially in cross-functional teams, and how your contributions aligned with business goals.
✨Familiarise Yourself with MLOps Practices
Since MLOps is a key part of the role, be prepared to discuss best practices like monitoring, logging, and automated retraining. Share any experiences you have with deploying machine learning models and how you ensured their reliability in production.
✨Communicate Effectively
Practice articulating your thoughts clearly and concisely. Since collaboration is crucial, think about how you can demonstrate your communication skills during the interview. Prepare to explain technical concepts in a way that’s accessible to non-technical stakeholders.
