Draft n Craft - Senior AI Engineer - RAG/LLM

0 years

0 Lacs

Posted:1 day ago| Platform: Linkedin logo

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On-site

Job Type

Full Time

Job Description

Description

GenAI & Document Intelligence :

  • Design and build end-to-end document intelligence pipelines using OCR + LLMs.
  • Parse, segment, and structure complex legal documents into schema-driven JSON outputs.
  • Implement layout-aware extraction, table handling, and multi-page document processing.
  • Apply prompt engineering, function calling, and structured output constraints.
  • Build RAG-based systems (Retrieval-Augmented Generation) to ground LLM responses using internal legal knowledge bases.
  • Fine-tune Large Language Models (LLaMA, GPT, and other open-source or commercial LLMs) for legal domainspecific tasks.
  • Handle OCR noise, incomplete documents, inconsistent layouts, and edge cases.

OCR & Document Processing

  • Integrate OCR engines such as AWS Textract, Azure Form Recognizer, or Tesseract.
  • Design post-OCR cleanup, normalization, and rule-based extraction pipelines.
  • Implement validation logic to ensure accuracy, consistency, and legal usability.

Backend & Production Engineering

  • Build scalable backend services using Python.
  • Optimize latency, throughput, and cost (OCR usage, LLM token consumption).
  • Implement logging, retries, failure handling, and confidence checks.

Cloud, Deployment & Reliability

  • Deploy AI systems on AWS / Azure / GCP.
  • Collaborate with DevOps teams on containerization, monitoring, and secure access.
  • Ensure solutions meet data security, privacy, and standard compliance requirements (e.g., HIPAA, where applicable).

Collaboration & Technical Ownership

  • Work closely with legal professionals to translate domain requirements into technical solutions.
  • Provide technical guidance and mentoring to junior engineers.
  • Maintain clear technical documentation and architectural decision records.
(ref:hirist.tech)

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