Skills and Competencies5+ years of software engineering experience designing, coding, testing, and operating production-grade backend services and cloud-native applicationsStrong coding proficiency in TypeScript, Python, C#, or similar technologies, with experience building scalable application programming interfaces, microservices, and distributed systemsPractical experience building enterprise AI applications using large language models, including agents, retrieval augmented generation, orchestration frameworks, and model optimizationDemonstrated ability to own services, components, or features end to end, from technical design through production deployment and ongoing operation with limited supervisionHands-on experience with cloud-native technologies, serverless applications, event-driven architectures, data pipelines, relational and NoSQL databases, vector databases, observability tooling, and automated deployment pipelinesSolid understanding of algorithms, data structures, scalability, reliability, performance optimization, security best practices, and engineering trade-offsExperience mentoring engineers through code review, pairing, debugging, documentation, and the promotion of engineering excellence through testing and continuous improvement practicesDemonstrated 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 useEducationBachelor's degree in Computer Science, Engineering, or a related discipline, or equivalent professional experienceResponsibilitiesDesigns, 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 workloadsOwn the delivery of assigned features and components end to end, from technical design through deployment, monitoring, production support, and continuous improvementBuild and enhance large language model application features using retrieval augmented generation, orchestration frameworks, evaluation methods, agentic workflows, and tool integrationContribute to technical designs, participate in design reviews, and identify risks, constraints, trade-offs, and alternative approachesMaintain engineering excellence through automated testing, code reviews, observability, monitoring, alerting, operational readiness, and participation in on-call supportApply machine learning operations practices, including prompt versioning, automated evaluation, deployment pipelines, monitoring, and production issue resolutionPartner closely with product managers, data scientists, machine learning engineers, and fellow engineers to translate requirements into reliable software solutionsMentor engineers, contribute to shared frameworks and developer tooling, document system designs and operational runbooks, and promote responsible AI practices across delivered featuresAbout the TeamOur 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.-
Senior AI Software Engineer in London employer: Moody's Corporation
At Moody's, we pride ourselves on being an exceptional employer, particularly for those in the AI/ML product management space. Our collaborative work culture fosters innovation and creativity, while our commitment to employee growth ensures that you will have ample opportunities to develop your skills and advance your career. Located in a vibrant city, we offer unique advantages such as access to cutting-edge technology and a diverse client base, making your contributions impactful and rewarding.
