Software Engineer - AI Platform & Agents
Cape Analytics·Khosla Ventures (Getro)
Posted Jul 9, 2026
ApplySkip to main content
Go to homepage
Menu
Saved Jobs (0)
EN
Filter Languages
English
English
Canadian Français
Canadian French
View all jobs
Search Jobs
Find jobs for
Location
Radius
miles
5 miles
15 miles
25 miles
35 miles
50 miles
Search
Software Engineer - AI Platform & Agents
London, England
Apply now
Save job
Posted
07/08/2026
Job reference
14135
Experience level
Experienced Hire
Job category
Engineering & Technology
Line of business
DC&I
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 Competencies3+ years of experience in backend software development, building scalable, resilient, and production-grade systemsHands-on experience developing AI-powered applications, including large language models (LLMs), AI agents, retrieval-augmented generation, prompt engineering, evaluation frameworks, and model optimization techniquesProven ability to take AI solutions from concept and experimentation through to production deployment, optimizing for performance, reliability, scalability, and costStrong knowledge of cloud platforms such as AWS, GCP, or Azure, along with containerization and orchestration technologies including Docker, ECS, and KubernetesProficiency with databases such as PostgreSQL and MongoDB and caching technologies such as Redis for high-performance data storage and retrievalExperience designing and building APIs, distributed systems, and event-driven architectures in modern programming languages such as Python, TypeScript, Java, Go, or similarFamiliarity with MLOps practices, model monitoring, observability, versioning, and automated deployment pipelines preferredStrong problem-solving skills with the ability to navigate ambiguity, experiment rapidly, and deliver impactful solutions that create measurable business valueExcellent communication and collaboration skills with demonstrated success working across multidisciplinary teams of engineers, data scientists, and product stakeholdersEducationBachelor’s degree or higher in Computer Science, Software Engineering, or a related fieldResponsibilitiesAs a Software Engineer specializing in AI systems, you will help shape the next generation of intelligent applications by building scalable platforms that bring cutting-edge AI capabilities into real-world production environments. Working at the intersection of software engineering and machine learning, you will design and develop systems that power AI agents, large language model applications, and advanced automation solutions used by teams across the business. You will collaborate closely with engineers, data scientists, and product partners to transform innovative ideas into reliable,...