AI Product Data Scientist (Agentic Systems & Product Ecosystem)

Tekskills; Pune District; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Tekskills is seeking an AI Product Data Scientist to bridge AI research, data science and product engineering. You will design, build and scale autonomous AI systems across enterprise products, shaping data pipelines, APIs and orchestration layers.

You’ll work with LangGraph, AutoGen, CrewAI and vector databases to implement agentic AI features, evaluate models, and ensure production readiness in a cloud-native environment.

Qualifications

• Experience in AI product development and data science.
• Proficiency with agentic AI frameworks.
• Experience with LLMs, embeddings, vector databases.
• Strong Python programming for data pipelines.
• Experience designing AI product ecosystems (microservices, APIs).
• Knowledge of cloud platforms and MLOps pipelines.

Responsibilities

• Design and build agentic AI systems and orchestration workflows.
• Develop AI-driven features across APIs, services and data platforms.
• Collaborate with product, engineering and stakeholders to translate needs.
• Develop ML/LLM models, embeddings, vector search, and recommendations.
• Architect RAG pipelines and AI copilots for enterprise workflows.
• Ensure scalability, reliability, explainability, and production readiness.
• Drive experimentation and model evaluation for AI products.

Skills

Data science

ML

AI product development

Agentic AI frameworks

Python programming

APIs & microservices

Cloud architectures

MLOps

LLMs & embeddings

Tools

Pinecone

FAISS

Weaviate

LangGraph

AutoGen

CrewAI

FastAPI

Job description

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.
• Strong to current