
AI / NLP Engineer (RAG & Knowledge System)
2 days ago
About the Role: We are building an AI-powered Knowledge Search Platform for the Chemical & Pharmaceutical industry using RAG (Retrieval-Augmented Generation), Large Language Models (LLMs), and Vector Databases. We are looking for an experienced AI/NLP Engineer who can design intelligent query systems capable of understanding natural language and retrieving accurate results from complex industry datasets (150+ product and company tables).
Key Responsibilities: -
Design and develop RAG-based AI Search System using Python, Vector Databases, and LLMs.
Build data pipelines to ingest, clean & unify complex datasets (CSV, SQL, APIs) across industries like API, FDF, Nutraceuticals, Excipients, etc.
Implement Semantic Search & Embedding Models (OpenAI, HuggingFace, FAISS, Pinecone, ChromaDB).
Create conversational interfaces or APIs for intelligent query answering (FastAPI/Flask).
Optimize large document handling (2+ lakh rows) to prevent token limits & performance issues.
Integrate AI to interpret user intent (product, supplier, certification, country, industry).
Deploy scalable ML solutions and ensure accuracy, relevance, and reliability of responses.
Required Skills & Expertise: Core Technical Skills:
Strong Python Programming
Experience with NLP & LLM Models (OpenAI GPT, HuggingFace Transformers)
Knowledge of Embeddings & Vector Databases (FAISS / Pinecone / ChromaDB)
Experience with RAG (Retrieval-Augmented Generation)
FastAPI / Flask for AI-based APIs
Data Cleaning, Processing & Knowledge Graphs
Database / Data Engineering:
Experience working with large structured datasets (Elasticsearch, MySQL, Postgres) .
Familiarity with multi-table relational structures .
Domain (Preferred but Optional):
- Pharmaceutical / Chemical / Life Science Industry familiarity - Knowledge of CAS No, API, FDF, Excipients, Certifications, Regulatory data
Experience Required:
- Minimum: 3 to 5 Years in AI/NLP - Must have delivered at least one real-world AI Search / Chatbot / RAG project - Startup or Product-based AI project experience preferred
Education: - B.Tech / M.Tech / MCA in Computer Science, AI, Data Science or related field
- Certifications in AI/ML (OpenAI, Coursera, etc.) is a plus
Key Qualities We Expect:
Problem Solver & Independent Thinker
Ability to manage complex real-world data challenges
Passion for AI-driven innovation
Ownership mindset & long-term product vision
Job Types: Full-time, Permanent
Pay: ₹35, ₹80,000.00 per month
Benefits:
- Health insurance
- Provident Fund
Experience:
- RAG-based AI Search System : 3 years (Preferred)
- Python, Vector Databases, and LLMs: 3 years (Preferred)
- CSV, SQL, APIs: 3 years (Preferred)
- Elasticsearch, MySQL, Postgres: 3 years (Preferred)
- CAS No, API, FDF: 3 years (Preferred)
- AI/NLP real-world AI Search / Chatbot / RAG project: 3 years (Preferred)
Work Location: In person
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