Draft n Craft - Senior AI Engineer - RAG/LLM

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.