Back
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Tier-1 bank, mid-level role in metro with broad AI/LLM and production requirements yields high competition.
Role's heavy ML/LLM, OCR, and production automation focus makes cross-industry transferability limited, so high sensitivity.
Explicit 5+ years plus mandatory LLM, LangGraph, OCR, and production-readiness creates high shortlisting strictness.
Design, build, deploy, and operate production-grade AI assistants automating high-volume knowledge work with focus on intelligent document processing.
Define success metrics, continuously improve quality via offline evaluation and production monitoring, and embed Responsible AI controls.
Troubleshoot full AI automation stacks, including model, retrieval, tool integration, and post-processing layers, ensuring operational readiness and stakeholder reporting.
At least 5 years of hands-on experience in applied AI, machine learning, or AI-powered automation with production or production-like delivery.
Strong proficiency in Python including asynchronous programming and software engineering best practices.
Experience with Large Language Models, prompt engineering, graph-based AI workflow orchestration (e.g., LangGraph), Pydantic schema definition, and document digitization including OCR tools (e.g., AWS Textract).
Work Experience Required: Minimum 5 years in relevant AI/ML or automation roles; Notice Period: Not explicitly mentioned in the JD.
Experienced in delivering enterprise-grade AI-powered automation solutions with accountability for production service health and operational excellence.
Skilled in orchestrating multi-stage AI workflows combining language, multimodal models, and external tool integration in financial or similarly complex environments.
Capable of defining and monitoring objective success metrics and performing structured root-cause analyses to optimize adoption, accuracy, and reliability.