AI Software Engineer

AVEVA•Lake Forest, CA

3d•Hybrid

About The Position

AVEVA is creating software trusted by over 90% of leading industrial companies. We are looking for passionate and seasoned AI Software Engineers to join our Core AI Services team. In this role, you will help design, develop, and scale AI-enabling platform services and public APIs that are secure, reliable, and cloud-native. These services will act as foundational building blocks for AI adoption across AVEVA’s product portfolio and partner ecosystem. You will be part of a Scrum team to build innovative, standards-compliant, secure and production-grade AI capabilities, with a builder mindset, rapid prototyping and continuous improvement with agility of a start-up.

Requirements

Experience working with Large Language Models (LLMs) and understanding of trade-offs between performance, cost, and capability.
Understanding of Retrieval-Augmented Generation (RAG), agent orchestration, prompt engineering, and tool calling.
Familiarity with AI standards such as Model Context Protocol (MCP) and Agent2Agent (A2A).
Fluent in developing code using AI Tools such as GitHub Copilot.
Must be able to use prompt engineering to carry out multiple development tasks.
Familiar with AI orchestration and agentic frameworks.
Experience in Python and AI frameworks / tools such as PyTorch and TensorFlow.
Experience with tools for automated testing and evaluation of AI outputs
Excellent problem-solving skills, with the ability to analyse complex technical challenges and propose scalable solutions.

Nice To Haves

Extensive experience in software engineering, preferably in platform or cloud-native service development (using Microsoft and .NET technologies a bonus)
Strong expertise in RESTful API design, versioning, testing, and lifecycle management.
Strong knowledge or experience in working with various ML algorithms (regression, classification, clustering, deep learning).
Proficient in securing APIs, managing authentication/authorization and data privacy practices.
Hands-on experience with Microsoft Azure and associated PaaS services (e.g., Azure Functions, AKS, API Management) preferred; experience with other cloud platform (AWS, GCP) is also valued.
Proficient in securing APIs, managing authentication/authorization and data privacy practices.
Knowledge of AI ethics and regulations (e.g., NIST AI RMF, EU AI Act), and commitment to responsible AI development.
Experience working in Agile teams and collaborating across global R&D locations

Responsibilities

Work with multiple teams to create AI solutions, which include AI model deployment, training, and AI tooling development.
Build scalable, fault-tolerant cloud-native services on Microsoft Azure, ensuring high performance and reliability.
Develop secure, well-documented public APIs and SDKs for consumption by internal and external developers.
Collaborate with cross-functional teams to deliver end-to-end solutions across data pipelines, orchestration, and service APIs.
Embed robust security controls to protect sensitive data and ensure secure access to AI services.