Senior AI Platform Engineer (Production-Ready)

Hackajob Ltd; City of Westminster; On-site; GBP 90,000 - 110,000; Full time

Job summary

Moodys Corporation’s Innovation team is hiring a senior AI Platform Engineer to design, code, and drive scalable AI-powered platforms and intelligent applications in production. You will lead hands-on development, collaborate with data scientists and engineering leaders, and shape reusable AI frameworks and tooling for enterprise-scale deployments.

The role emphasizes building end-to-end AI pipelines, managing performance and security, and mentoring engineers while advancing responsible AI

Qualifications

• 8 years of software engineering experience with backend systems and cloud-native services.
• Expert coding in Python, TypeScript, Java, Go, delivering production code.
• Hands-on experience building enterprise AI apps using LLMs, agents, RAG, prompts, orchestration, eval.
• Ability to move AI solutions from prototype to production with trade-offs on performance, scalability, reliability, security, maintainability, and cost.
• Expert knowledge of AWS, GCP, or Azure with Docker and Kubernetes in production.
• Experience designing APIs, distributed systems, data pipelines, PostgreSQL, MongoDB, Redis, and observability.
• Mentor engineers through design/code reviews, pairing, debugging, and problem solving.
• Deep expertise in AI with track record of production-ready AI solutions for transformation and scalability.
• Commitment to responsible AI practices including governance, monitoring, and continuous improvement.
• Bachelor or higher in CS/Software Eng/AI or equivalent practical experience.

Responsibilities

• Design, code, and lead delivery of scalable AI platforms and intelligent apps.
• Hands-on technical leader, designing, coding, reviewing, debugging, and improving production AI systems.
• Build scalable backend services, APIs, data pipelines, and inference pipelines for real-time/batch workloads.
• Implement LLM apps using retrieval‑augmented generation, prompt orchestration, evaluation, and tool integration.
• Make key technical decisions with focus on maintainability, performance, reliability, security, and cost.
• Establish engineering best practices via code reviews, design reviews, testing, observability, and operations.
• Champion ML Ops including model lifecycle, prompt versioning, deployments, monitoring, and improvements.
• Partner with product managers, data scientists, ML engineers, and stakeholders to translate priorities into robust solutions.
• Build reusable frameworks, libraries, tooling, and platform components for AI across teams.
• Evaluate emerging AI tech through prototypes and POCs, guiding patterns and trade-offs.
• Mentor engineers through coaching, pairing, code reviews, documentation, and example-setting.

Skills

Software Engineering

Backend Design

Production Code

Cloud-Native

Python

TypeScript

Java

Go

AI Systems

LLM Applications

MLOps

System Architecture

Education

Bachelor's degree in CS/Software Engineering/AI or equivalent

Tools

Docker

Kubernetes

PostgreSQL

MongoDB

Redis

Azure

AWS

GCP

Job description

Moodys Corporation’s Innovation team is hiring a senior AI Platform Engineer to design, code, and drive scalable AI-powered platforms and intelligent applications in production. You will lead hands-on development, collaborate with data scientists and engineering leaders, and shape reusable AI frameworks and tooling for enterprise-scale deployments.

The role emphasizes building end-to-end AI pipelines, managing performance and security, and mentoring engineers while advancing responsible AI