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- AI Engineer (Python, LangChain, LangGraph, Agentic AI, LLMs)
AI Engineer (Python, LangChain, LangGraph, Agentic AI, LLMs)
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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