Software Engineer- AI & Node.js in London

Software Engineer- AI & Node.js in London

London Full-Time 60000 - 80000 £ / year (est.) No working from home possible
hackajob

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: Enjoy competitive salary, health benefits, and opportunities for remote work.
  • Other info: Inclusive culture that values diverse perspectives and offers excellent career growth.
  • 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
Education

Bachelor’s degree or higher in Computer Science, Software Engineering, or a related field.

Responsibilities
  • 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 in London 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 mentorship opportunities and collaborative projects that empower our team to tackle complex challenges in AI and risk assessment. Located in a dynamic environment, we offer competitive benefits and the chance to work alongside industry leaders, making a meaningful impact on how the world navigates uncertainty.

hackajob

Contact Details:

hackajob Recruitment Team

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 current employees at Moody's on LinkedIn or other platforms. A friendly chat can give us insights into the company culture and maybe even a referral!

Tip Number 2

Prepare for the interview by brushing up on your Node.js and AI knowledge. We should be ready to discuss our past projects and how they align with Moody's mission of turning risks into opportunities.

Tip Number 3

Showcase our problem-solving skills! During interviews, we can share specific examples of how we've tackled challenges in previous roles, especially those related to backend systems and AI applications.

Tip Number 4

Don’t hesitate to apply through our website, even if we don’t meet every requirement. Moody's values diverse perspectives, and we might just be the perfect fit they didn’t know they were looking for!

We think you need these skills to ace Software Engineer- AI & Node.js in London

Node.js
AI Applications
LLM Implementations
Retrieval-Augmented Generation
Prompt Optimization
Fine-Tuning Methodologies
Cloud Platforms (AWS, GCP, Azure)

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. Let us know why you’re excited about the opportunity at Moody's and how you can contribute to their mission.

Showcase Problem-Solving Skills:In your application, include examples of how you've tackled complex problems in past roles. We love candidates who can navigate ambiguity and deliver impactful solutions, so share those success stories!

Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensure it gets the attention it deserves. Plus, it shows you’re serious about joining our team!

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 candidates who can navigate ambiguity, so think of situations where you turned challenges into opportunities and how your solutions aligned with business goals.

Communicate Clearly and Collaboratively

Since you'll be working across cross-functional teams, practice articulating your thoughts clearly. Highlight your collaboration experiences, especially with data scientists and machine learning engineers, to demonstrate your ability to integrate AI practices seamlessly.

Embrace the Company Culture

Familiarise yourself with Moody's values, such as investing in relationships and championing diverse perspectives. During the interview, express how you embody these values and how they resonate with your work ethic. This will help you connect with the interviewers on a personal level.