Experienced Software Engineer, Ai Services

AVEVA

Cambridge, United Kingdom
Not specified; not specified; benefits include 28 ...
Hybrid (expected to be in the office three days a week)
Microsoft .net technologies
Restful api design and lifecycle management
Cloud-native services on microsoft azure
AVEVA is seeking an experienced Software Engineer for their Core AI Services team in Cambridge, UK. The role focuses on designing and developing AI-enabling platform services, requiring a strong background in cloud-native service development and API design

Job Summary

  • The role involves designing and scaling secure, cloud-native AI platform services that serve as foundational building blocks for AVEVA's product portfolio.
  • Candidates will work within a Scrum team to build production-grade AI capabilities using a builder mindset and rapid prototyping approach.
  • AVEVA offers comprehensive benefits including 28 days annual leave, private medical insurance, and a flexible benefits fund for its global engineering teams.

Matching Summary

Match Score: 85

AVEVA is seeking an experienced Software Engineer for their Core AI Services team in Cambridge, UK. The role focuses on designing and developing AI-enabling platform services, requiring a strong background in cloud-native service development and API design.

Salary

Not specified; Not specified; Benefits include 28 days annual leave, pension, life cover, private medical insurance

Skills & Requirements

Must-have

  • Microsoft .NET technologies
  • RESTful API design and lifecycle management
  • Cloud-native services on Microsoft Azure
  • Docker and Kubernetes orchestration
  • Secure API authentication and authorization

Nice-to-have

  • Experience with Large Language Models (LLMs)
  • Knowledge of RAG and agent orchestration
  • Familiarity with Model Context Protocol (MCP)
  • Understanding of EU AI Act and NIST AI RMF
  • Agentic frameworks experience

Key Requirements

  • Extensive software engineering experience in platform or cloud-native development
  • Proficiency in securing APIs and managing data privacy practices
  • Hands-on experience architecting scalable containerized AI workloads

Work Rights

Not specified

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