Senior AI/ML Software Engineer

Overview

• We are looking for a highly motivated AI/ML Software Engineer to join the Enterprise Agentic AI Platform team within IT.
• You will work closely with Business Analysts, and Engineering teams to design, develop, and deploy enterprise AI solutions that improve productivity and automate business workflows across Engineering, Operations, and Manufacturing.
• What you'll be doing: Design, develop, and deploy Agentic AI applications using Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), and AI orchestration frameworks.
• Build scalable AI services and reusable components integrated with enterprise applications such as PLM, SAP, and other business systems.
• Collaborate with business and IT teams to translate business requirements into AI-driven solutions.
• Develop secure, scalable APIs and enterprise integrations to enable intelligent workflows and automation.
• Improve AI solution quality, performance, and reliability through prompt engineering, evaluation, and continuous optimization.
• Partner with cross-functional teams throughout the Software Development Lifecycle (SDLC), from solution design through deployment and production support.
• What we need to see: Bachelor's or Master's degree in Computer Science, Information Technology, AI/ML, or a related field.
• 6+ years of software engineering experience with strong proficiency in Python and backend application development.
• Hands-on experience with Generative AI, LLMs, RAG, AI agents, REST APIs, and cloud-native application development.
• Experience integrating enterprise applications and building scalable, production-ready software solutions.
• Strong analytical, problem-solving, communication, and collaboration skills.
• Self-driven individual with the ability to work independently in a fast-paced environment.
• Ways to stand out from the crowd: Experience with Agentic AI frameworks, Model Context Protocol (MCP), LangChain, LangGraph, or Semantic Kernel.
• Experience with Azure AI Services, Azure OpenAI, AI Search, vector databases, or enterprise AI platforms.
• Knowledge of Engineering, PLM, Manufacturing, or Supply Chain business processes.
• Experience building enterprise AI copilots, intelligent assistants, or workflow automation solutions.