Senior Data Scientist_GenAI (LLM, RAG, LangGraph) - Immediate Joiners

About the Role

We are seeking an experienced

Data Scientist

skilled in

Generative AI ,

RAG systems , and

microservices architecture . You will design and deploy AI-powered solutions such as

RAG chatbots ,

LLM-driven BI tools , and

coding agents , leveraging frameworks like

LangGraph ,

LlamaIndex , and

LangChain .

Key Responsibilities

Design and implement

end-to-end Generative AI solutions

(RAG chatbots, BI assistants, coding agents).

Develop and deploy

AI agents

using frameworks like

LangGraph

or similar tools.

Build

data ingestion and retrieval pipelines

with

LlamaIndex / LangChain .

Manage and optimize

vector databases

(Pinecone, Weaviate, Chroma).

Integrate multiple

LLM providers

(OpenAI, Gemini, Anthropic) and evaluate performance.

Establish

observability and monitoring

using

LangSmith

or

Weights & Biases .

Collaborate with engineering teams to

productionize AI models

within

microservices .

Required Skills

Hands-on with

LangGraph ,

LlamaIndex , or

LangChain .

Experience in

RAG systems ,

LLM BI , and

code generation agents .

Knowledge of

vector databases

and

LLM APIs

(OpenAI, Claude, Gemini).

Strong proficiency in

Python

and

ML fundamentals

(clustering, regression, forecasting).

Familiarity with

scikit-learn ,

PyTorch ,

TensorFlow .

Experience with

Docker ,

Kubernetes , and

API-based deployments .

Working knowledge of

LLM observability tools

and

AI evaluation frameworks .

Good to Have

Experience with

fine-tuning ,

self-hosting LLMs , or

transformer models

(BERT, YOLO).

Exposure to

MLOps tools

(MLflow, W&B, TensorBoard).

Cloud certifications

(AWS, GCP, Azure).

Understanding of

prompt engineering ,

data security , and

AI system evaluation .

Note :

If you are matching on to the above job description & skills, please fill in your details on the below Form enclosed (https : / / forms.gle / bUyXMBhgSxxBZVeK9)