At a Glance
- Tasks: Design and build AI-powered features for innovative data products.
- Company: Join a leading tech firm focused on digital content and innovation.
- Benefits: Competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Mentorship opportunities and a commitment to responsible AI practices.
- Why this job: Make an impact with cutting-edge AI technology in a collaborative environment.
- Qualifications: 5+ years in software engineering with strong coding skills in TypeScript, Python, or C#.
Skills and Competencies
- 5+ years of software engineering experience designing, coding, testing, and operating production-grade backend services and cloud-native applications.
- Strong coding proficiency in TypeScript, Python, C#, or similar technologies, with experience building scalable application programming interfaces, microservices, and distributed systems.
- Practical experience building enterprise AI applications using large language models, including agents, retrieval augmented generation, orchestration frameworks, and model optimization.
- Demonstrated ability to own services, components, or features end to end, from technical design through production deployment and ongoing operation with limited supervision.
- Hands-on experience with cloud-native technologies, serverless applications, event-driven architectures, data pipelines, relational and NoSQL databases, vector databases, observability tooling, and automated deployment pipelines.
- Solid understanding of algorithms, data structures, scalability, reliability, performance optimization, security best practices, and engineering trade-offs.
- Experience mentoring engineers through code review, pairing, debugging, documentation, and the promotion of engineering excellence through testing and continuous improvement practices.
- Demonstrated proficiency in artificial intelligence concepts, with hands-on experience using AI tools to streamline workflows and enhance operational efficiency.
- Proven ability to implement AI-powered solutions to solve business challenges.
- Demonstrates a growing awareness of AI risk management and a commitment to responsible and ethical AI use.
Education
- Bachelor's degree in Computer Science, Engineering, or a related discipline, or equivalent professional experience.
Responsibilities
- Designs, builds, and operates the services and AI-powered features behind Moody's intelligent data products as a senior contributor within the Digital Content and Innovation organization.
- Design, code, test, and operate backend services, application programming interfaces, data pipelines, and inference pipelines that support real-time and batch AI workloads.
- Own the delivery of assigned features and components end to end, from technical design through deployment, monitoring, production support, and continuous improvement.
- Build and enhance large language model application features using retrieval augmented generation, orchestration frameworks, evaluation methods, agentic workflows, and tool integration.
- Contribute to technical designs, participate in design reviews, and identify risks, constraints, trade-offs, and alternative approaches.
- Maintain engineering excellence through automated testing, code reviews, observability, monitoring, alerting, operational readiness, and participation in on-call support.
- Apply machine learning operations practices, including prompt versioning, automated evaluation, deployment pipelines, monitoring, and production issue resolution.
- Partner closely with product managers, data scientists, machine learning engineers, and fellow engineers to translate requirements into reliable software solutions.
- Mentor engineers, contribute to shared frameworks and developer tooling, document system designs and operational runbooks, and promote responsible AI practices across delivered features.
Let's begin! Senior Software Engineer-AI in London employer: Moodys
At Moody's, we pride ourselves on fostering an inclusive and innovative work culture that empowers our employees to thrive. With a strong focus on professional growth, we offer numerous opportunities for advancement in the rapidly evolving fields of AI and risk assessment. Located in a dynamic environment, our team is dedicated to making a meaningful impact by leveraging cutting-edge technology to address critical global challenges.
StudySmarter Expert Advice🤫
We think this is how you could land Let's begin! Senior Software Engineer-AI in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Moodys or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Moodys.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Moodys.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Moodys that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Let's begin! Senior Software Engineer-AI in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Moodys.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Moodys and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Moodys
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Moodys uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
