About the Role
Gen AI/Agentic AI Engineers
Location - Bangalore/Gurugram
Level - Senior Associate
Experience - 4-8 years
Skills & Experience
Strong background in Python , ML engineering and API development ( FastAPIs )
Knowledge of tokenization libraries and GenAI/NLP techniques (RAG, embeddings, transformers).
Hands-on with GenAI frameworks (LangChain, LlamaIndex, DSPy) and Agentic AI orchestration (LangGraph, MCP, A2A, AutoGen, etc.).
Expertise with vector databases, elastic search, unstructured data
Experience with cloud AI/ML services (AWS, Azure, GCP).
Key Responsibilities
Design and implement GenAI applications (chatbots, copilots, knowledge assistants).
Build and manage Agentic AI workflows using orchestration frameworks (LangGraph, Crew AI, MCP, A2A).
Apply ML/AI techniques (supervised/unsupervised learning, optimization, embeddings, retrieval).
Integrate AI with enterprise data, APIs, and cloud-native architecture.
Ensure scalabili...
Location - Bangalore/Gurugram
Level - Senior Associate
Experience - 4-8 years
Skills & Experience
Strong background in Python , ML engineering and API development ( FastAPIs )
Knowledge of tokenization libraries and GenAI/NLP techniques (RAG, embeddings, transformers).
Hands-on with GenAI frameworks (LangChain, LlamaIndex, DSPy) and Agentic AI orchestration (LangGraph, MCP, A2A, AutoGen, etc.).
Expertise with vector databases, elastic search, unstructured data
Experience with cloud AI/ML services (AWS, Azure, GCP).
Key Responsibilities
Design and implement GenAI applications (chatbots, copilots, knowledge assistants).
Build and manage Agentic AI workflows using orchestration frameworks (LangGraph, Crew AI, MCP, A2A).
Apply ML/AI techniques (supervised/unsupervised learning, optimization, embeddings, retrieval).
Integrate AI with enterprise data, APIs, and cloud-native architecture.
Ensure scalabili...
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