Full Stack AI Engineer

As a Full Stack AI Engineer at our company, you will be responsible for creating AI-driven platforms, data products, and enterprise-grade applications. Your role will involve end-to-end solutioning, from data engineering and model development to deployment and integration. **Key Responsibilities:** - Develop, train & deploy AI/ML models including traditional, GenAI, and LLM fine-tuning. - Build end-to-end pipelines using Microsoft Fabric ecosystem. - Work with OneLake, design data warehouse, and execute T-SQL queries. - Create semantic data models and integrated dashboards in Power BI. - Develop microservices, serverless functions (Lambda), and cloud-native apps. - Integrate AI systems with SharePoint, APIs, and external data sources. - Implement security best practices such as IAM and role-based access. - Collaborate with product, architects, and business teams to define AI use-cases. - Optimize models and data pipelines for performance and cost. - Maintain code quality, version control, and deployment pipelines via GitHub. **Qualifications Required:** - 5+ years of hands-on experience in AI/ML engineering and full stack development. - Strong background in Python development. - Knowledge of LLMs, RAG, and modern GenAI tooling. - Experience in the Microsoft Fabric ecosystem. We also value the following additional qualifications: - Experience with Copilot Studio and Model Context Protocol. - Previous involvement in enterprise SaaS products. In this role, you will have the opportunity to work on cutting-edge enterprise AI and GenAI use-cases. You can expect a fast-growing product environment with exposure to technical leadership and performance-based growth opportunities. Please note that the work location for this position is in person.,