Senior AI Platform Engineer

Moody's Corporation; Greater London; On-site; GBP 120,000 - 180,000; Full time

Job summary

Moody's Corporation seeks a senior software engineer to design and deliver scalable AI platforms and backend systems in a production environment. You will personally contribute high-quality code while guiding architectural direction for AI-powered products and services.

You will build and optimize scalable backend services, data pipelines, and inference workflows, leveraging LLMs, retrieval-augmented generation, and orchestration to drive business impact at enterprise scale.

Qualifications

• 8+ years in software engineering with backend and cloud-native systems.
• Expert coding in Python, TypeScript, Go, with production code.
• Hands-on enterprise AI apps using LLMs, agents, and RAG.
• Experience moving AI solutions from prototype to production.
• Strong cloud experience (AWS/GCP/Azure) and Docker/Kubernetes in production.
• Designing APIs, distributed systems, data pipelines, and observability.

Responsibilities

• Design, code, and deliver scalable AI platforms and intelligent apps.
• Lead hands-on engineering while guiding technical direction.
• Build scalable backend services, data pipelines, and inference workflows.
• Implement LLM-based applications with retrieval and orchestration.
• Establish best practices for testing, monitoring, and reliability.
• Mentor engineers and contribute to architecture reviews.

Skills

Backend engineering

Python

Go

TypeScript

Cloud platforms

Docker/Kubernetes

AI applications

LLMs & AI agents

Data pipelines

PostgreSQL

Education

Bachelor's degree or higher in Computer Science

Tools

Docker

Kubernetes

Elastic Container Service

AWS

GCP

Azure

Vector databases

Job description

Moody's Corporation seeks a senior software engineer to design and deliver scalable AI platforms and backend systems in a production environment. You will personally contribute high-quality code while guiding architectural direction for AI-powered products and services.

You will build and optimize scalable backend services, data pipelines, and inference workflows, leveraging LLMs, retrieval-augmented generation, and orchestration to drive business impact at enterprise scale.