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- AI Engineer (Python, LangChain, LangGraph, Agentic AI, LLMs)
AI Engineer (Python, LangChain, LangGraph, Agentic AI, LLMs)
Cognizant94 views
Tech Stack
About the Role
Design, develop, and deploy Agentic AI systems using Python.
Responsibilities:
- 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.
Mandatory skills: Python, LangChain, LangGraph, Agentic AI, APIs, LLMs.
Experience: 7 to 13 years.
Notice period: Immediate to 90 days.
Location: Bangalore, India (Hybrid).
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