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AI Summary
Design and develop enterprise-grade Generative AI and Agentic AI solutions.
• Build AI-powered assistants, copilots, and intelligent workflow automation platforms.
• Implement and optimize: Large Language Models (LLMs), Retrieval Augmented Generation (RAG),
Multi-Agent Systems, Semantic Search architectures
• Develop AI orchestration frameworks for autonomous and collaborative AI agents.
• Build scalable AI pipelines and microservices using Python and modern AI frameworks.
• Design vector search and enterprise knowledge retrieval solutions.
• Fine-tune prompts, optimize inference performance, and improve AI response quality.
• Develop secure API integrations and event-driven AI architectures.
• Collaborate with product, architecture, security, and engineering teams.
• Ensure responsible AI governance, security, compliance, and observability standards.
• Support deployment, monitoring, and continuous improvement of AI systems in production
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