AI / NLP Engineer (RAG & Knowledge System)

3 years

4 - 9 Lacs

Posted:5 days ago| Platform: GlassDoor logo

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Work Mode

On-site

Job Type

Full Time

Job Description

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: ₹35,000.00 - ₹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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