AI Software Engineer

Overview In this role, you will design, build, and scale AI-enabled platform services and public APIs that enable AI adoption across AVEVA’s products and partner ecosystem. You join a Scrum team delivering secure, cloud-native capabilities with a startup-like mindset. You will collaborate across teams to deploy AI models, tooling, and data pipelines while emphasizing reliability and security. This is a hands-on role at the intersection of AI, cloud, and enterprise software, offering tangible impact on the company’s AI strategy. Compensation / BenefitsFlex work hoursPTO 20 days rising to 25three paid volunteering daysparental leave (primary and secondary)well-being supportmedical, dental, vision, 401K ResponsibilitiesCollaborate with multiple teams to develop AI solutions including model deployment, training, and tooling developmentBuild scalable, fault-tolerant cloud-native services on Microsoft Azure ensuring high performanceDevelop secure, well-documented public APIs and SDKs for internal and external developersWork with cross-functional teams to deliver end-to-end solutions across data pipelines, orchestration, and service APIsEmbed robust security controls to protect data and secure AI services Key requirementsExperience with Large Language Models (LLMs) and trade-offs between performance, cost, and capabilityUnderstanding of Retrieval-Augmented Generation (RAG), agent orchestration, prompt engineering, and tool callingFamiliarity with AI standards MCP and A2AProficiency in Python and AI frameworks such as PyTorch and TensorFlowExperience with automated testing/evaluation of AI outputsExcellent problem-solving skills for complex technical challenges and scalable solutionsCollaborative and cross-functional teamworkAgile mindset with rapid prototyping and continuous improvementStrong communication and documentation skillsLLMs and prompt engineeringRAG, agent orchestration, tool callingMCP (Model Context Protocol) and Agent2Agent (A2A)