Job Summary

We are looking for an AI Product Data Scientist with strong expertise in Agentic AI systems and product ecosystem architecture . The ideal candidate will bridge AI research, data science, and product engineering to design, build, and scale intelligent autonomous systems across enterprise products.

Responsibilities
- Design and develop agentic AI systems (multi-agent workflows, autonomous decision systems, orchestration frameworks).
- Build AI-driven product features across end-to-end product ecosystems (APIs, services, data platforms, automation pipelines).
- Work closely with product managers, engineering teams, and stakeholders to translate business requirements into AI solutions.
- Develop ML/LLM models, embeddings, vector search, recommendation systems, and predictive analytics pipelines.
- Architect RAG pipelines, AI copilots, enterprise automation workflows, and AI-first product integrations.
- Ensure AI systems are scalable, reliable,



explainable, and production-ready.
- Drive experimentation, model evaluation, and continuous improvement in AI products.

Qualifications
- Strong experience in Data Science, ML, and AI product development.
- Expertise in Agentic AI frameworks (LangGraph, AutoGen, CrewAI, or custom orchestration).
- Experience with LLMs, RAG, embeddings, vector databases (Pinecone, FAISS, Weaviate, etc.).
- Solid programming skills in Python (FastAPI, ML libraries, data pipelines).
- Experience designing AI product ecosystems (microservices, APIs, event-driven systems, cloud-native architectures).
- Knowledge of cloud platforms (AWS/GCP/Azure) and MLOps pipelines.
- Robust understanding of product metrics, experimentation, and AI-driven product strategy.

📌 AI Product Data Scientist (Bengaluru)
🏢 Tekskills
📍 Bengaluru