Location
London

Hours
Full Time

Salary
Negotiable

About the Role
As a Senior Software Engineer - AI at Moody's, you will design, build, and operate the services and AI-powered features behind Moody's intelligent data products within the Digital Content and Innovation organization. You will develop backend services, APIs, data pipelines, and inference pipelines supporting real-time and batch AI workloads. This role involves owning features end to end—from technical design through deployment, monitoring, and continuous improvement. You will build and enhance large language model application features using retrieval augmented generation, orchestration frameworks, agentic workflows, and tool integration. You will contribute to technical designs, participate in design reviews, and maintain engineering excellence through automated testing, observability, monitoring, and operational readiness. Collaboration with product managers, data scientists, machine learning engineers, and fellow engineers is key to translating requirements into reliable software solutions. Additionally, you will mentor engineers, contribute to shared frameworks and developer tooling, document system designs and operational runbooks, and promote responsible AI practices.

Our Digital Content and Innovation team focuses on building next-generation internal and external products powered by cutting-edge AI technologies including large language models, AI agents, machine learning, and natural language processing. The team combines engineers, data scientists, and AI specialists to solve complex challenges and deliver practical products that enhance productivity and create measurable business impact. You will engage across the full AI lifecycle, from experimentation to large-scale production deployment, while shaping reusable platforms, frameworks, and responsible AI practices. This role offers the opportunity to work on exciting applied AI challenges and be part of a culture that values curiosity, innovation, knowledge sharing, and continuous growth.

Experience
5+ years of software engineering experience designing, coding, testing, and operating production-grade backend services and cloud-native applications. Strong proficiency in TypeScript, Python, C#, or similar technologies, with experience building scalable APIs, microservices, and distributed systems. Practical experience building enterprise AI applications using large language models, including agents, retrieval augmented generation, orchestration frameworks, and model optimization. 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 promoting engineering excellence through testing and continuous improvement. Demonstrated proficiency in AI concepts with hands-on experience using AI tools to streamline workflows and enhance operational efficiency. Awareness of AI risk management and commitment to responsible and ethical AI use.

About you
You are a self-driven engineer capable of owning services or features end to end with limited supervision. You thrive in collaborative environments and are passionate about building reliable, scalable AI-powered software solutions. You have strong communication skills and enjoy mentoring and supporting fellow engineers. You are committed to engineering excellence, responsible AI practices, and continuous learning.

Qualifications
Bachelor's degree in Computer Science, Engineering, or a related discipline, or equivalent professional experience.