AI Product Data Scientist (Agentic Systems & Product Ecosystem)

Tekskills Inc.; Hyderabad; On-site; INR 250,000 - 420,000; Full time

Job summary

Tekskills Inc. seeks an AI Product Data Scientist with strong expertise in agentic AI systems to bridge AI research, data science, and product engineering across enterprise products.

The role focuses on designing, building, and scaling autonomous AI features, including multi-agent workflows, embeddings, vector search, and RAG pipelines, while ensuring scalable, reliable, and explainable production systems. You will collaborate with product managers and engineers, define metrics, run experiments,

Qualifications

• Experience in data science, ML, and AI product development.
• Expertise in agentic AI frameworks.
• Experience with LLMs, RAG, embeddings, vector databases.
• Solid Python programming skills for production pipelines.
• Experience designing AI product ecosystems (microservices, APIs, cloud-native).
• Knowledge of cloud platforms and MLOps pipelines.
• Strong understanding of product metrics, experimentation, and AI-driven strategy.

Responsibilities

• Design and develop agentic AI systems (multi-agent workflows, autonomous decision systems, orchestration).
• Build AI-driven features across end-to-end product ecosystems (APIs, services, data platforms, automation pipelines).
• Work with product managers, engineering teams, and stakeholders to translate business requirements into AI solutions.
• Develop ML/LLM models, embeddings, vector search, recommendations, analytics pipelines.
• Architect RAG pipelines, AI copilots, enterprise automation workflows, and AI-first product integrations.
• Ensure AI systems are scalable, reliable, explainable, production-ready.
• Drive experimentation, model evaluation, and continuous improvement in AI products.

Skills

Machine Learning

Data Science

AI Product Dev

Agentic AI

LLMs & RAG

Python

FastAPI

Cloud Platforms

MLOps

Product Metrics

Experimentation

Tools

Pinecone

FAISS

Weaviate

Chroma

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.