Description

You will lead the architecture and scaling of Agentic AI solutions.

This role is hybrid.

Responsibilities

• Design and develop multi-agent AI systems using LangGraph for workflow automation and autonomous problem-solving.
• Implement knowledge graphs, vector databases (Pinecone, Weaviate, FAISS), and RAG techniques to enhance agent reasoning.
• Lead AI research in Agentic AI, LLM Orchestration, and self-improving AI agents.
• Translate Agentic AI capabilities into enterprise solutions, driving operational efficiency and cost savings.
• Mentor AI Engineers and Data Scientists on LangGraph and multi-agent architectures.

Required Skills

• 5+ years of professional experience in data science or AI.
• Expertise in Python and PySpark.
• Proficiency with deep learning frameworks: TensorFlow, PyTorch, Keras.
• Experience with machine learning libraries including Sci-kit Learn.
• Familiarity with statistical modeling techniques like ARIMA and ARMAX.
• Experience building and optimizing agent orchestration workflows.
• Knowledge of context-aware AI agent design and planning.

Key Skills

Education

Any Gradute