We're hiring Data Scientist lead/Architect to help us build next-generation agentic AI systems that are intelligent, collaborative, and scalable.

This is your chance to go beyond prompt engineering and shape the architecture of autonomous, multi-agent AI solutions using tools like LangGraph, AutoGen, CrewAI, and more.

🔎 What we’re looking for:

• Must have a deep understanding of AI/ML algorithms, ranging from classical methods (e.g., regression, random forests, k-means clustering) to advanced techniques such as gradient boosting (#XGBoost, #LightGBM, #CatBoost), neural networks, and transformer-based architectures (e.g., sentence transformers, BERT variants)
• Design and develop multi-agent LLM systems using LangGraph, AutoGen, or CrewAI.
• Build and deploy MCP servers, LLM gateways, and design Agent-to-Agent collaboration flows.
• Fine-tune language models for verticals like healthcare, manufacturing, or finance.
• Architect retrieval-augmented generation (RAG) systems with vector stores like FAISS, Pinecone, or Weaviate.
• Integrate tools like LangSmith, GuardrailsAI, and knowledge graphs to ensure trust, safety, and observability.