Data Scientist – Artificial Intelligence (GenAI)
Skills
About the role
We are seeking an experienced Data Scientist – Artificial Intelligence with strong expertise in Generative AI (GenAI) application development. The ideal candidate should have hands-on experience in building enterprise-grade AI solutions, including copilots, intelligent assistants, Retrieval-Augmented Generation (RAG) pipelines, and agentic AI workflows using modern LLM frameworks.
Key Responsibilities
Build and develop GenAI applications such as:
AI Copilots
Chat Interfaces
Intelligent Assistants
AI-powered Automation Workflows
Design and implement Retrieval-Augmented Generation (RAG) pipelines, including:
Embeddings
Retrievers
Vector Databases
Prompt Engineering Workflows
Develop agentic AI workflows using frameworks such as:
LangGraph
LangChain Agents
Similar Agentic AI Frameworks
Integrate LLM-based applications with:
Enterprise APIs
Databases
Cloud Platforms
Implement:
Prompt Templates
Tool Calling / Tool Usage
Structured Outputs
Orchestration Logic
Optimize GenAI solutions for:
Accuracy
Latency
Reliability
Cost Efficiency
Support testing, monitoring, and production deployment of GenAI applications.
Implement responsible AI practices, including guardrails, safety controls, and governance.
Mandatory Technical Skills
Generative AI (GenAI)
Large Language Models (LLMs)
Retrieval-Augmented Generation (RAG)
LangChain
LangGraph
AI Copilots / Intelligent Assistants
Prompt Engineering
Embeddings
Vector Databases
Agentic AI Workflows
Enterprise API Integration
Cloud Platform Integration
AI Orchestration
Production Deployment of GenAI Applications
Preferred Skills
Experience deploying enterprise-scale GenAI solutions.
Knowledge of responsible AI, guardrails, and AI governance.
Familiarity with monitoring and optimizing LLM applications in production.
Mandatory Skills Checklist
✔ Generative AI (GenAI) ✔ Large Language Models (LLMs) ✔ Retrieval-Augmented Generation (RAG) ✔ LangChain ✔ LangGraph ✔ Prompt Engineering ✔ Embeddings ✔ Vector Databases ✔ Agentic AI Workflows ✔ Enterprise API Integration ✔ Cloud Platform Integration ✔ AI Copilots / Intelligent Assistants ✔ Production Deployment of GenAI Applications
Ideal Candidate Profile
8+ years of relevant IT experience with strong expertise in AI/ML and Generative AI.
Hands-on experience building enterprise-grade GenAI applications using modern LLM frameworks.
Strong understanding of RAG architecture, agentic workflows, and prompt engineering.
Experience integrating AI applications with enterprise systems and cloud platforms.
Ability to optimize AI solutions for scalability, performance, and responsible AI compliance.
Pay: ₹2,500,000.00 per year
Application Question(s):
current annual ctc
expected annual ctc
notice period
linkedin profile link
full current address with pincode
pan card no (mandatory to upload into the portal to schedule interview, if not willing to share kindly do not apply
Work Location: Hybrid remote in Bengaluru, Karnataka (Bengaluru Urban District)
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