- Design, develop, and deploy Agentic AI systems using Python
- Build autonomous AI agents capable of planning, reasoning, and tool usage
- Develop and manage multi-agent workflows and orchestration pipelines
- Integrate LLMs with APIs, databases, and enterprise applications
- Implement Retrieval-Augmented Generation (RAG) pipelines
- Develop scalable backend services and microservices for AI applications
- Optimize performance, latency, and cost of AI systems in production
- Collaborate with Data Science, Engineering, and Product teams
- Ensure best practices in testing, monitoring, and deployment of AI systems
📌 AI Engineer With GCP (Bengaluru)
🏢 Cognizant Technology Solutions India
📍 Bengaluru
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