Senior AI Platform Engineer (Hybrid)

6 Days Old

Overview

Senior Software Engineer — AI Platform & Cloud Services

Location: Cambridge, UK (hybrid) • Type: Full-time • Reports to: R&D Senior Manager

Join a fast-moving R&D team building cloud- AI platform services and public APIs that enable next- AI across multiple industrial products and partner ecosystems.

Responsibilities

  • Design, build and operate scalable, fault-tolerant cloud services on Microsoft Azure (AKS, Functions, API Management).
  • Develop secure, production-grade public APIs and SDKs consumed by internal teams and external partners.
  • Build platform capabilities around LLM deployment, RAG, agent orchestration, and model serving.
  • Own security and privacy for AI workloads (authn/authorisation, data protection, auditability).
  • Drive architecture, code reviews, and mentor more junior engineers.
  • Ship prototypes quickly, then harden them for production — iterate with a builder’s mindset.

Must-have (clear and non-negotiable)

  • 6+ years software engineering experience (platform / cloud service delivery).
  • Strong hands-on experience with Microsoft Azure (AKS, Functions, API Management or equivalent).
  • Proven track record building RESTful APIs and SDKs for external use.
  • Practical experience with LLMs, RAG workflows, or agent patterns; able to explain tradeoffs (cost vs latency vs accuracy).
  • Proficient in Python and familiar with PyTorch or TensorFlow.
  • Solid understanding of security best practices for APIs (OAuth2, JWT, role scoping).
  • Comfortable mentoring peers and leading technical designs.

Nice-to-have

  • Experience with .NET / C# in cloud services.
  • Familiarity with orchestration frameworks (Semantic Kernel, AI Foundry, or similar).
  • Experience with model evaluation/testing pipelines and automated QA for AI outputs.
  • Knowledge of AI governance frameworks (NIST AI RMF, EU AI Act).
  • Prior work on latency-sensitive or regulated industrial domains.

Why apply

  • High technical ownership: build the platform others rely on, influence roadmap and architecture.
  • Blend of research & production: quick prototyping plus long-term, production quality engineering.
  • Heavily collaborative, cross-disciplinary teams (data engineers, ML engineers, product).
  • Competitive total rewards and professional development support. Flexible hybrid working.
#J-18808-Ljbffr
Apply
Location:
Cambridge, England, United Kingdom
Salary:
£80,000 - £100,000
Job Type:
FullTime
Category:
IT & Technology

We found some similar jobs based on your search