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 team-oriented 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

📌 DE&A - AIML - Deep Learning - Generative AI (Gurugram)
🏢 Zensar Technologies
📍 Gurugram