IT & Software

Staff Software Engineer - AI

Moodys

London · Greater London · United Kingdom

Overview

In this role you will design and deliver scalable AI platforms that power Moody’s AI-powered products. You’ll lead hands-on development and influence technical directions while collaborating with product, data science, and engineering peers. You’ll bring enterprise AI capabilities from prototype to production, focusing on performance, reliability, and cost efficiency. This is a chance to shape responsible AI practices and scalable systems at a global risk analytics leader.

Responsibilities
  • Design, code, and lead delivery of scalable AI platforms and intelligent applications
  • Act as a hands-on technical leader, contributing across design, debugging, and production improvements
  • Build scalable backend services, APIs, data/inference pipelines, and platform capabilities for real-time and batch AI workloads
  • Implement advanced LLM-based applications using retrieval-augmented generation, prompt orchestration, evaluation, and optimisation
  • Make key technical decisions with emphasis on maintainability, performance, reliability, security, and cost
  • Establish engineering best practices through code reviews, automated testing, and observability
  • Champion MLOps practices including model lifecycle management, evaluation, deployment pipelines, and monitoring
  • Collaborate with product managers, data scientists, and engineers to translate strategic goals into robust solutions
  • Build reusable frameworks, tooling, and platform components to accelerate AI development across teams
  • Evaluate emerging AI technologies via prototypes and production readiness assessments, guiding patterns and trade-offs
  • Mentor engineers through coaching, pairing, and design reviews to raise technical standards
Key requirements
  • 8+ years of software engineering experience with backend systems and cloud-native services
  • Expert coding capability in Python, TypeScript, Java, Go, or similar
  • Hands-on enterprise AI experience with LLMs, AI agents, RAG, prompt engineering, and model optimisation
  • Proven ability to take AI solutions from prototype to production with trade-offs on performance, scalability, and cost
  • Expert knowledge of cloud platforms (AWS, GCP, Azure) and production Docker/Kubernetes deployments
  • Experience designing APIs, distributed systems, event-driven architectures, data pipelines, PostgreSQL, MongoDB, Redis, and vector databases
  • Strong influence in technical direction, mentoring, and hands-on problem solving
  • Deep expertise in AI and driving strategic transformation, platform scalability, and operational efficiency
  • Commitment to responsible AI: governance, evaluation, monitoring, and continuous improvement of AI-enabled products
  • collaboration
  • curiosity
  • leadership
  • Python
  • TypeScript
  • Java

Reference: WJ-747_30171369

Apply now

Continue on the employer's official application - the same link they use for every candidate.

More jobs

This role is listed on GigBlows for discovery and search. Hiring decisions and applications are handled by the employer or their chosen application system.