AI Product Data Scientist (Agentic Systems & Product Ecosystem)

Tekskills Inc.; Bengaluru; On-site; INR 1,800,000 - 3,200,000; Full time

Job summary

Tekskills Inc. in Bengaluru seeks an AI Product Data Scientist to bridge AI research, data science and product engineering for autonomous systems across enterprise products.

You will design, build, and scale AI features, architect agentic workflows, and collaborate with PMs and engineering to translate business requirements into AI solutions. Proficiency with LLMs, embeddings, vector databases, and MLOps is essential.

Qualifications

• Strong experience in Data Science, ML, and AI product development.
• Experience with agentic AI frameworks and orchestration.
• Familiarity with LLMs, RAG, embeddings and vector databases.
• Proficient Python for APIs and data pipelines.
• Experience designing cloud-native AI product ecosystems.

Responsibilities

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

Skills

Data Science

ML/AI

Agentic AI

LLMs

Python

MLOps

Cloud Platforms

Tools

LangGraph

AutoGen

CrewAI

Pinecone

FAISS

Weaviate

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