Artificial Intelligence Engineer

About the Role:

We are looking for an experienced AI Engineer who is focused on automating the review, comparison, and risk assessment of guarantee letters, contractual clauses, and policy documents using AI and NLP techniques.

The role requires hands‑on expertise in NLP, semantic search, and document intelligence, with a strong emphasis on accuracy, explainability, and regulatory compliance, in line with Organization’s risk and governance standards.

Responsibilities

• Design, build, and enhance AI/NLP solutions for text vetting, including:
• Clause extraction from unstructured documents
• Semantic comparison against standard/reference clauses
• Risk identification and classification
• Process and analyze unstructured financial and legal documents (Word, PDF, scanned files), including multilingual content (e.g., German and English).
• Develop and fine‑tune semantic similarity and embedding‑based models to detect contextually similar clauses with different wording.
• Support creation and maintenance of a structured clause and policy repository aligned to Organization’s standards (e.g., trade finance guarantees).
• Collaborate closely with Organization’s SMEs, product owners, and compliance stakeholders to translate business and regulatory requirements into AI logic.
• Implement explainable AI approaches to ensure traceability and auditability of AI‑generated outputs.
• Support POC development, client demos, and iterative refinements based on DB feedback.
• Expose AI capabilities through secure APIs and integrate with downstream systems as required.
• Ensure adherence to data privacy, confidentiality, and secure coding standards expected in a Tier‑1 bank environment.

Required Skills

• Required minimum 5+ years of experience
• Programming
• Strong proficiency in Python
• Doc AI
• Vertex AI
• NLP / GenAI
• Text preprocessing, embeddings, semantic similarity
• Transformer‑based models and LLMs
• Prompt engineering and controlled generation techniques
• Frameworks & Libraries
• Hugging Face, spaCy, NLTK
• PyTorch or TensorFlow
• Scikit‑learn
• Document Intelligence
• PDF / Word parsing
• OCR integration for scanned documents
• Backend & Integration
• REST API development using FastAPI / Flask
• Data Handling
• Working with structured and unstructured datasets
• Version Control
• Git, basic CI/CD exposure