At a Glance
- Tasks: Design and implement AI-driven backend systems using Node.js and create innovative APIs.
- Company: Join Moody's Corporation, a leader in risk assessment and AI innovation.
- Benefits: Inclusive culture, competitive salary, and opportunities for professional growth.
- Other info: Collaborative environment with mentorship opportunities and career advancement.
- Why this job: Make a real impact by transforming how the world sees risk with cutting-edge technology.
- Qualifications: 3+ years in backend development with Node.js and experience in AI applications.
The predicted salary is between 60000 - 80000 £ per year.
hackajob is collaborating with Moody's Corporation to connect them with exceptional professionals for this role. At Moody's, we unite the brightest minds to turn today’s risks into tomorrow’s opportunities. We do this by striving to create an inclusive environment where everyone feels welcome to be who they are—with the freedom to exchange ideas, think innovatively, and listen to each other and customers in meaningful ways. Moody’s is transforming how the world sees risk. As a global leader in ratings and integrated risk assessment, we’re advancing AI to move from insight to action—enabling intelligence that not only understands complexity but responds to it. We decode risk to unlock opportunity, helping our clients navigate uncertainty with clarity, speed, and confidence.
If you are excited about this opportunity but do not meet every single requirement, please apply! You still may be a great fit for this role or other open roles. We are seeking candidates who model our values: invest in every relationship, lead with curiosity, champion diverse perspectives, turn inputs into actions, and uphold trust through integrity.
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
- Bachelor’s degree or higher in Computer Science, Software Engineering, or a related field.
- 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
Moody’s is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, disability, protected veteran status, sexual orientation, gender expression, gender identity or any other characteristic protected by law. Candidates for Moody's Corporation may be asked to disclose securities holdings pursuant to Moody’s Policy for Securities Trading and the requirements of the position. Employment is contingent upon compliance with the Policy, including remediation of positions in those holdings as necessary.
Software Engineer- AI & Node.js employer: hackajob
At Moody's Corporation, we pride ourselves on being an exceptional employer that fosters a culture of inclusivity and innovation. Our commitment to employee growth is evident through our collaborative environment where diverse perspectives are championed, and every team member is encouraged to lead with curiosity. Located in a dynamic setting, we offer unique opportunities to work on cutting-edge AI technologies while ensuring a supportive atmosphere that values integrity and meaningful relationships.
StudySmarter Expert Advice🤫
We think this is how you could land Software Engineer- AI & Node.js
✨Tip Number 1
Network like a pro! Reach out to current or former employees at Moody's on LinkedIn. A friendly chat can give you insider info and maybe even a referral, which can really boost your chances.
✨Tip Number 2
Prepare for the interview by brushing up on your AI and Node.js skills. Be ready to discuss your past projects and how they relate to the role. We want to see your problem-solving skills in action!
✨Tip Number 3
Show your passion for AI and risk assessment during interviews. Share your thoughts on industry trends and how you can contribute to Moody's mission. It’s all about demonstrating that you’re not just a fit, but a perfect fit!
✨Tip Number 4
Don’t hesitate to apply through our website, even if you don’t meet every requirement. We believe in potential, and you might just be the candidate we didn’t know we were looking for!
We think you need these skills to ace Software Engineer- AI & Node.js
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 your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to express your passion for AI and backend development. Share why you’re excited about Moody’s mission and how you can contribute to turning risks into opportunities.
Showcase Problem-Solving Skills:In your application, highlight specific examples where you've tackled complex problems. We love candidates who can navigate ambiguity and deliver impactful solutions, so don’t hold back on those success stories!
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 this exciting opportunity at Moody’s!
How to prepare for a job interview at hackajob
✨Know Your Tech Inside Out
Make sure you brush up on your Node.js skills and AI applications. Be ready to discuss your experience with scalable systems, LLM implementations, and any relevant projects you've worked on. This will show that you're not just familiar with the tech but can also apply it effectively.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex problems in your previous roles. Moody's values effective solutions, so think about times when you navigated ambiguity and delivered impactful results. Use the STAR method (Situation, Task, Action, Result) to structure your answers.
✨Emphasise Collaboration
Since the role involves working with cross-functional teams, be ready to discuss your collaboration experiences. Highlight how you've worked with data scientists or machine learning engineers in the past, and how you ensured seamless integration of practices. This shows you value teamwork and communication.
✨Align with Moody's Values
Familiarise yourself with Moody's core values and think about how your personal values align with them. Be prepared to discuss how you invest in relationships, lead with curiosity, and champion diverse perspectives. This will demonstrate that you're a cultural fit for the company.