Description

What's the Job?

• Build and deploy LLM-powered applications, AI agents, and RAG (Retrieval-Augmented Generation) solutions that automate operational workflows.
• Implement Document AI / Intelligent Document Processing (IDP) capabilities using OCR, PDF parsing, data extraction, confidence scoring, and rule-based validation.
• Design agent-based architectures using Python and frameworks such as LangChain and LangGraph to orchestrate multi-step request handling.
• Integrate AI workflows with REST APIs and bots to collect required information from multiple applications and validate customer data (e.g., email verification and customer existence checks).
• Support end-to-end automation that can push validated results into downstream processes (including KYC workflows) and close associated tickets/requests.

What's Needed?

• 3+ years of experience in Artificial Intelligence (AI), Machine Learning (ML), Generative AI, or Intelligent Automation solutions.
• 3+ years of hands-on experience with Python and AI development frameworks, including LangChain, LangGraph, Google ADK, and agent-based architectures.
• 3+ years of experience implementing Document AI / Intelligent Document Processing (IDP) solutions involving OCR, PDF parsing, data extraction, confidence scoring, rule-based validation, semantic matching, fuzzy comparison, and API integration.
• Strong experience building and deploying LLM-powered applications, AI agents, RAG solutions, and workflow automation platforms.
• Experience working in a containerized, cloud-driven environment and demonstrating practical implementation experience (not just theoretical GenAI concepts).

What's in it for me?

• Work on Generative AI automation that consolidates and streamlines approximately 400 different case/request types currently handled manually.
• Build agent-driven workflows that route requests, extract information from documents, validate results, and drive ticket/request closure.
• Apply hands-on RAG and document extraction engineering using Python and LangGraph in a real operational setting.
• Contribute to AI governance expectations with a team that values clear technical decision-making and explainable implementation choices.
• Join a backfill role supporting ongoing projects with an 18-month duration and potential to extend and/or convert

Key Skills

Education

Any Graduate