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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # AI Software Engineer - **Company:** Aveva Inc. - **Location:** Lake Forest, CA, United States - **Experience:** Expert - **Salary:** $103,500.0 - $172,500.0 - **Contract:** Permanent contract - **Skills:** .NET Framework, Application Programming Interfaces (APIs), Agile Methodology, Artificial Intelligence, Amazon Web Services, Automation of Tests, Microsoft Azure, Cloud Engineering, Cluster Analysis, Fault Tolerance, Python (Programming Language), Machine Learning, Scrum Methodology, Rapid Prototyping Process, Software Tools, Tensorflow, Service Development Studio, Software Engineering, Management of Software Versions, Cloud Platform System, GitHub Copilot, Pytorch, Large Language Models, Multi-Agent Systems, Prompt Engineering, Deep Learning, Generative AI, AI Platforms, Azure AKS, Machine Learning Operations, Software Coding, Restful APIs, Elastic Beanstalk, Data Pipelines, Api Management, Serverless Computing - **Published:** September 24, 2026 - **Apply:** https://www.thejobnetwork.com/job/ai-software-engineer-509977011 ## About the Role * 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. Desired skills and competencies * 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 R&D at AVEVA ## Description 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. Key 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. ## Related Videos - [Agentic AI - From Theory to Practice: Developing Multi-Agent AI Systems on Azure](https://www.wearedevelopers.com/videos/1532-agentic-ai-from-theory-to-practice-developing-multi-agent-ai-systems-on-azure) - [Machine learning in the browser with TensorFlowjs](https://www.wearedevelopers.com/videos/155-machine-learning-in-the-browser-with-tensorflowjs) - [Azure-Well Architected Framework - designing mission critical workloads in practice](https://www.wearedevelopers.com/videos/1529-azure-well-architected-framework-designing-mission-critical-workloads-in-practice) - [Photonic Computing: Programming a New Class of AI Accelerators (incl. Live Coding)](https://www.wearedevelopers.com/videos/100196-photonic-computing-programming-a-new-class-of-ai-accelerators-incl-live-coding) - [Azure AI Foundry for Developers: Open Tools, Scalable Agents, Real Impact](https://www.wearedevelopers.com/videos/1541-azure-ai-foundry-for-developers-open-tools-scalable-agents-real-impact) - [How We Built a Machine Learning-Based Recommendation System (And Survived to Tell the Tale)](https://www.wearedevelopers.com/videos/752-how-we-built-a-machine-learning-based-recommendation-system-and-survived-to-tell-the-tale) ## Related Articles - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Transforming Software Development: The Role of AI and Developer Tools](https://www.wearedevelopers.com/magazine/527-transforming-software-development-the-role-of-ai-and-developer-tools) - [MLOps And AI Driven Development](https://www.wearedevelopers.com/magazine/82-mlops-and-ai-driven-development) - [What is Software Engineering in the Age of AI?](https://www.wearedevelopers.com/magazine/640-what-is-software-engineering-in-the-age-of-ai) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere)