Senior Software Engineer-AI

Moody's Investors Service; Greater London; Hybrid; GBP 120,000 - 160,000; Full time

Job summary

Moody's Investors Service in London is seeking a senior software engineer to design, build, and operate backend services and AI-powered features behind Moody's data products.

You will own features end to end, work with product managers and data scientists, mentor engineers, and help advance responsible AI practices across delivered components.

Qualifications

• 5+ years of software engineering experience.
• Experience building scalable APIs and microservices.
• Experience with AI applications using LLMs.
• End-to-end ownership of services and features.
• Cloud-native tech, data pipelines, and observability tooling.
• Strong knowledge of algorithms and data structures.
• Experience mentoring engineers and promoting engineering excellence.
• Proficient in AI concepts with responsible AI practices.

Responsibilities

• Design, code, test, and operate backend services, APIs, data pipelines, and inference pipelines for real-time and batch AI workloads.
• Own feature delivery end to end from design through deployment, monitoring and support.
• Build large language model features using retrieval augmented generation, orchestration, evaluation, agentic workflows, and tool integration.
• Contribute to technical designs, reviews, risks, and trade-offs.
• Maintain engineering excellence via automated testing, reviews, observability, and on-call readiness.
• Apply MLOps practices including prompt versioning, evaluation, deployment, monitoring.
• Collaborate with product managers, data scientists, and engineers to translate requirements into reliable software.
• Mentor engineers, develop tooling, and promote responsible AI across features.

Skills

Backend development

Cloud-native architectures

API design

AI/LLM integration

Distributed systems

Mentoring engineers

Security best practices

Code reviews

Education

Bachelor's degree in CS/Engineering

Job description

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

About the Team

Our Digital Content and Innovation (DC&I) team is responsible for building next-generation internal and external products powered by cutting-edge artificial intelligence technologies, including large language models, AI agents, machine learning, and natural language processing. The group brings together engineers, data scientists, and AI specialists to solve complex challenges and turn breakthrough ideas into practical products that enhance productivity, unlock insights, and create measurable business impact. Collaboration is central to how the team works. Engineers contribute across the full AI lifecycle, from experimentation and prototyping through to large-scale production deployment, while helping shape reusable platforms, frameworks, and responsible AI practices. By joining the team, you will work on some of the most exciting challenges in applied AI, contribute directly to production code and architecture, and be part of a culture that values curiosity, innovation, knowledge sharing, and continuous growth.