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)
Senior Data • Delhi, India