to join our team in building intelligent, AI-powered dialogue systems, chatbots, and document-based Q&A tools. This role requires a deep understanding of NLP, LLM (Large Language Model) integration, and the ability to build AI pipelines that convert unstructured data into meaningful responses. The ideal candidate should have strong experience with Python, ML libraries, and API-driven architectures.
This is a
hands-on, research-to-deployment role
. You will play a key part in shaping the product's intelligence and language capabilities -- from designing conversation flows to building semantic search systems and custom logic engines.
Key Responsibilities
Design and implement AI-driven
chatbots and Q&A systems
using NLP and LLMs.
Perform
prompt engineering
for LLMs like OpenAI, Claude, or open-source models.
Handle
Excel/CSV/JSON data parsing
to structure domain-specific knowledge bases.
Build and integrate
information retrieval
and
semantic search
features.
Apply
intent classification
,
category detection
, and
dialogue management
techniques.
Deploy and optimize backend services that serve AI responses through APIs.
Collaborate closely with designers and product teams to build
domain-aware, user-friendly conversations
.
(Optional) Integrate or build
astrology-based models
or
rule-based prediction engines
.
Required Skills
Strong experience in
Natural Language Processing (NLP)
.
Familiarity with
LLM integration
,
prompt engineering
, and
RAG architectures
.
Practical knowledge of
Machine Learning / Deep Learning
.
Strong programming skills in
Python
.
Experience working with
structured and unstructured data
(CSV, JSON, Excel).
Familiarity with
Conversational AI tools
(e.g., Rasa, Dialogflow, or custom-built systems).
Understanding of
information retrieval, semantic search
, and
vector embeddings
.
Ability to write clean, production-ready code and deploy services using
Flask/FastAPI
.
Solid understanding of
user intent classification
and conversational flow design.
Preferred Qualifications
Experience building
chatbots
, virtual assistants, or AI-driven user interfaces.
Prior exposure to
astrology or rule-based prediction engines
(a plus but not required).
Familiarity with
knowledge graphs
or domain-specific ontologies.
Hands-on experience with vector stores (e.g.,
Pinecone
,
FAISS
,
Weaviate
) and embedding techniques.
Ability to
work independently
and communicate ideas clearly and effectively.
Job Type: Full-time
Pay: ₹15,000.00 - ₹60,000.00 per month
Benefits:
Paid sick time
Experience:
AI: 1 year (Preferred)
Location:
Mohali, Punjab (Preferred)
Work Location: In person
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