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Software Engineer - AI Platform & Agents

Job in City Of London, Central London, Greater London, England, UK
Listing for: Moody's Corporation
Full Time position
Listed on 2026-07-21
Job specializations:
  • Software Development
    AI Engineer (Applied/Software), Machine Learning/ ML Engineer, Backend Developer, Cloud Engineer - Software
Salary/Wage Range or Industry Benchmark: 90000 - 140000 GBP Yearly GBP 90000.00 140000.00 YEAR
Job Description & How to Apply Below
Location: City Of London

Skills and Competencies

  • 3+ years of experience in backend software development, building scalable, resilient, and production-grade systems
  • Hands‑on experience developing AI-powered applications, including large language models (LLMs), AI agents, retrieval‑augmented generation, prompt engineering, evaluation frameworks, and model optimization techniques
  • Proven ability to take AI solutions from concept and experimentation through to production deployment, optimizing for performance, reliability, scalability, and cost
  • Strong knowledge of cloud platforms such as AWS, GCP, or Azure, along with containerization and orchestration technologies including Docker, ECS, and Kubernetes
  • Proficiency with databases such as PostgreSQL and MongoDB and caching technologies such as Redis for high‑performance data storage and retrieval
  • Experience designing and building APIs, distributed systems, and event‑driven architectures in modern programming languages such as Python, Type Script, Java, Go, or similar
  • Familiarity with MLOps practices, model monitoring, observability, versioning, and automated deployment pipelines preferred
  • Strong problem‑solving skills with the ability to navigate ambiguity, experiment rapidly, and deliver impactful solutions that create measurable business value
  • Excellent communication and collaboration skills with demonstrated success working across multidisciplinary teams of engineers, data scientists, and product stakeholders
Education
  • Bachelor's degree or higher in Computer Science, Software Engineering, or a related field
Responsibilities

As 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, secure, and impactful products.

  • Design and build scalable backend platforms, APIs, and services that power AI applications, intelligent automation solutions, and AI agents
  • Develop and deploy advanced LLM‑powered applications using techniques such as retrieval‑augmented generation, prompt engineering, evaluation frameworks, and model optimization
  • Create robust data and inference pipelines that support both real‑time and batch AI workloads at enterprise scale
  • Partner with data scientists and machine learning engineers to integrate emerging AI capabilities into production products and services
  • Build systems that enable AI agents to reason, automate tasks, interact with tools, and solve complex business challenges autonomously
  • Optimize applications for performance, scalability, reliability, and cost efficiency while supporting increasing AI adoption and usage
  • Implement engineering best practices around observability, monitoring, testing, security, and operational excellence
  • Establish and champion MLOps practices including model lifecycle management, prompt versioning, automated evaluation, and continuous improvement
  • Build reusable frameworks, developer tooling, and platform capabilities that accelerate AI innovation across multiple teams
  • Participate in architecture discussions, technical design reviews, and engineering initiatives that influence the future direction of AI products
  • Mentor engineers, share technical expertise, and contribute to a culture of innovation, experimentation, and continuous learning
About the Team

Our Innovation 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 is made up of a diverse set of engineers, data scientists, and AI specialists who are passionate about solving complex challenges and turning breakthrough ideas into real‑world solutions.
Collaboration is at the heart of…

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