Senior Generative AI Engineer
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• Design, develop, and deploy AI agents and agentic workflows using modern Generative AI frameworks.
• Build scalable solutions leveraging Large Language Models (LLMs), retrieval-augmented generation (RAG), orchestration frameworks, and autonomous agents.
• Develop and optimize multi-step AI workflows that integrate with enterprise systems, APIs, and business processes.
• Collaborate with product, engineering, and business stakeholders to identify AI use cases and deliver production-ready solutions.
• Evaluate emerging AI technologies, frameworks, and tools to improve development efficiency and solution effectiveness.
• Ensure AI solutions meet enterprise standards for scalability, security, performance, and maintainability. Requirements
• 10+ years of professional experience in software engineering.
• Experience with Microsoft Fabric and in building and deploying AI agents on Azure AI Foundry.
• Hands-on experience with one of more of the following programming languages: Python, JavaScript, .
Net, Java.
• Strong hands-on experience with at least one AI-assisted development platform:
• Claude Code
• GitHub Copilot
• Cursor
• Windsurf
• Slingshot
• Experience building, testing, and deploying agentic AI solutions in enterprise environments.
• Solid understanding of Large Language Models (LLMs), prompt engineering, AI workflow orchestration, tool calling, memory management, and agent architectures.
• Strong software engineering fundamentals with experience in API integration, system design, and application development. Nice to have
• Proven experience designing and implementing AI agents using modern Generative AI frameworks such as:
• LangGraph
• LangChain
• LangSmith
• Similar agent orchestration and observability frameworks
• Familiarity with cloud-native AI architectures and MLOps best practices.
• Experience integrating AI solutions with enterprise data platforms and business applications.
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