Senior AI Engineer

Role Overview: Draft n Craft is hiring a Senior AI Engineer – Document Parsing, Applied GenAI Engineer to design and build LLM-powered document parsing and structuring systems for legal workflows.

You will work on converting unstructured legal documents (scanned PDFs, contracts, pleadings, forms) into accurate, schema-driven structured outputs using OCR, rule-based logic, and Large Language Models (LLMs).

This is a hands-on, production-focused senior role with ownership of system design, accuracy, reliability, and deployment. You will provide technical leadership and mentoring while remaining an individual contributor.

Key Responsibilities

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 domain–specific 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.

Required Skills & QualificationsMust-Have

● 7+ years of experience in AI engineering and document automation systems.

● Strong proficiency in Python.

● Hands-on experience with Large Language Models (LLMs) — GPT, Claude, LLaMA, Gemini, etc.

● Knowledge in fine-tuning LLMs for domain-specific use cases.

● Strong experience in document parsing, OCR pipelines, and PDF processing.

● Experience generating structured outputs (JSON schemas, validations).

● Experience with RAG, embeddings, and vector search.

● Familiarity with Git, and CI/CD practices.

Nice-to-Have

● Experience with legal or compliance-heavy documents.

● Experience handling high-volume document processing systems.

● Exposure to multi-modal AI systems (document images + text).

● Experience implementing CI/CD pipelines with automated testing.

● Experience deploying production systems on AWS / Azure / GCP.
● Prior technical ownership or mentoring experience.

Location: Connaught Place, New Delhi

Job Type: Full-time

Pay: ₹2,000,000.00 - ₹2,500,000.00 per year

Work Location: In person