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 contemporary 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