Sr. Software Engineer - AI

ConnectWise is an industry and Global leading software company with over 3,000 colleagues in North America, EMEA and APAC. As a community-driven software company dedicated to the success of technology solution providers, our suite helps over 45,000 of our partners manage their businesses better, sell more efficiently, automate service delivery, and remotely control technology so they can consistently deliver amazing customer experiences. Our company is powered by our connections, our colleagues, and our community. And, we accept all kinds. Game-changers, innovators, culture-lovers—and humankind. We invite discovery and debate. We recognize key moments as milestones. We see you and value you for your unique contributions. Our inclusive, positive culture lays the foundation to ensure every colleague is valued for their perspectives and skills, giving you the choice of how YOU make a difference. Curious? Read this opportunity to learn how YOU can make a difference at ConnectWise! General Summary: The Senior AI Engineer (4 + years of experience) is responsible for designing and implementing intelligent, scalable AI/ ML solutions with a focus on Machine Learning, Retrieval-Augmented Generation (RAG), Agentic AI and Modular Cognitive Processes (MCP). This role is ideal for individuals who are passionate about the latest AI & ML advancements and eager to apply them in real-world applications. The engineer will collaborate with cross-functional teams to deliver high-quality, production-ready AI systems aligned with business goals and technical standards. Location: Bangalore Work Type: Hybrid Essential Duties and Responsibilities: Design, develop, and deploy AI-driven applications using RAG and Agentic AI frameworks. Builds/ Optimizes machine learning models Build and maintain scalable data pipelines and services to support AI workflows. Implement RESTful APIs using Python frameworks (e.g., FastAPI, Flask) for AI model integration. Collaborate with product and engineering teams to translate business needs into AI solutions. Debug and optimize AI systems across the stack to ensure performance and reliability. Stay current with emerging AI tools, libraries, and research, a nd integrate them into projects. Contribute to the development of internal AI standards, reusable components, and best practices. Work with vector databases, embeddings, and LLMs (e.g., GPT-4, Claude, Mistral) for intelligent retrieval and reasoning. Participate in code reviews, testing, and validation of AI components using frameworks like pytest or unittest.