Senior NLP & Generative AI Engineer (Deep Search, RAG & LLM Systems)

5 - 10 years

20 - 35 Lacs

Posted:6 days ago| Platform: Naukri logo

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Skills Required

generative ai tools natural language processing deep search & semantic search systems information retrieval & ranking algorithms retrieval-augmented generation prompt engineering & context optimization

Work Mode

Hybrid

Job Type

Full Time

Job Description

About Us

IP Author is a deep-tech organisation focused on transforming global Intellectual Property (IP) and Patent workflows using AI. The platform enables deep search, intelligent analysis, context-aware drafting, and automated decision support across the IP lifecycle.

We work at the intersection of NLP, Generative AI, Deep Semantic Search, LLM reasoning, and workflow automation, enabling IP professionals, law firms, and enterprises to achieve accuracy, speed, and scale.

Our mission is to build AI that thinks, analyses, reasons, and produces reference-backed, domain-grounded insights that meet the precision standards of legal and IP professionals.

What You'll Do

As a Senior NLP & Generative AI Engineer, you will lead the development of the AI intelligence backbone of our platform, with a strong focus on Deep Search, Retrieval-Augmented Generation, Embedding Models, and Agentic AI workflows tailored for IP domain use cases.

You will:

Deep Search & Report Intelligence

  • Build advanced Deep Search systems that extract, synthesize, and correlate information from large-scale patent, legal, scientific, and technical corpora.
  • Architect AI-driven frameworks to generate high-fidelity Deep Search Reports, including insights, novelty mapping, contextual relevance, comparative analysis, and traceable references.
  • Ensure domain accuracy, factual integrity, and compliance with IP standards.

RAG System Development

  • Design, develop, and optimise RAG pipelines for IP and research-intensive content to ensure precision and context-aligned generation.
  • Implement robust grounding, context-injection, and validation mechanisms to reduce hallucinations.
  • Define evaluation frameworks and continuous improvement loops for retrieval quality and response depth.

LLM & Embedding Model Development

  • Fine-tune LLMs using LoRA, PEFT, SFT and domain adaptation to enhance reasoning for legal-technical content.
  • Build and optimise domain-specific embedding models for semantic understanding of patents and research literature.
  • Design efficient chunking, context-handling, and long-document processing strategies.

Agentic AI Workflows

  • Develop agent-based AI workflows that support multi-step reasoning, structured research, validation, and automated analysis tasks.
  • Combine retrieval, reasoning, domain knowledge, and tool execution to achieve reliable and auditable outcomes.

NLP Engineering & Quality Control

  • Apply advanced NLP techniques for summarisation, information extraction, knowledge representation, and structured transformation.
  • Implement quality, safety, explainability, and audit mechanisms required for enterprise and legal-grade AI usage.

What We are Looking For

We are seeking a strong AI engineer with:

Technical Expertise

  • Deep knowledge of NLP, Generative AI, RAG, and Deep Search systems.
  • Proven experience building AI systems for knowledge-intensive or specialised text domains.
  • Hands-on expertise with:
    • Python, PyTorch, Hugging Face Transformers
    • Vector search systems such as FAISS, Pinecone, Weaviate, or Chroma
    • LLM orchestration frameworks (e.g., LangChain, LlamaIndex)
  • Strong analytical mindset with the ability to convert research into production-grade systems.
  • Excellent written communication and documentation abilities.

Behavioural & Work Attributes

  • High ownership, product-oriented thinking, and commitment to quality in a fast-paced environment.
  • Ability to collaborate with cross-functional teams including engineering, product, domain specialists, and leadership.
  • Curiosity, innovation mindset, and passion for solving deep-tech AI problems.

Nice to Have

  • Experience in IP, LegalTech, research-intensive domains, scientific publishing, or knowledge-based platforms.
  • Exposure to MLOps for AI model deployment, monitoring, evaluation, and lifecycle management.
  • Familiarity with agent frameworks (LangGraph, AutoGen, CrewAI).
  • Background in deep-tech, AI-first product companies or R&D-driven teams.

Why Join Us

  • Join a funded, high-growth AI startup defining the future of IP and LegalTech.
  • High-impact role where your code directly shapes product experience and value for global customers.
  • Work on intellectually challenging AI problems requiring reasoning, depth, precision, and domain sensitivity.
  • High-ownership role with direct influence on product direction, AI roadmap, and architecture.
  • Competitive compensation with potential ESOP for value creators.

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IP Author

Technology / Intellectual Property

Tech City

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