AI Product Data Scientist (Agentic Systems & Product Ecosystem)

Tekskills Inc.; Chennai; On-site; INR 1,800,000 - 3,600,000; Full time

Job summary

Tekskills Inc. in Chennai is seeking an AI Product Data Scientist to bridge AI research, data science, and product engineering for autonomous enterprise systems across product ecosystems.

You will design multi-agent workflows, build AI-driven features, and orchestrate ML/LLM pipelines. The role requires hands-on Python, FastAPI, embeddings, and cloud-based MLOps, with a focus on scalable, explainable AI products.

Qualifications

• Experience bridging AI research and product engineering.
• Proven ability to design AI-driven product ecosystems.
• Experience with cloud platforms and MLOps pipelines.

Responsibilities

• Design and develop agentic AI systems (multi-agent workflows).
• Build AI-driven product features across APIs, data platforms, and automation pipelines.
• Translate business requirements into AI solutions with PMs and engineering teams.
• Develop ML/LLM models, embeddings, and vector search.”
• Architect RAG pipelines, AI copilots, and enterprise automation workflows.
• Ensure AI systems are scalable, reliable, and production-ready.
• Drive experimentation, model evaluation, and continuous improvement in AI products.

Skills

Data Science

ML

AI product development

Agentic AI frameworks

LLMs

RAG

Embeddings

Vector DBs

Python

FastAPI

Data pipelines

Microservices

APIs

Cloud platforms

Tools

Pinecone

FAISS

Weaviate

Python ML libraries

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 understanding of product metrics, experimentation, and AI-driven product strategy.