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Tier-1 brand, metro location, and mid-level AI title increase candidate competition.
Core AI and backend skills transfer across industries, but banking and agent specialization add moderate specificity.
Explicit years plus required Google ADK/Langchain, backend and banking experience enforce strict filters.
Participate in low to moderately complex technology projects including installation, upgrades, and deployments in AI-assisted servicing platform development.
Design, develop, test, debug, and document backend software solutions primarily using Google ADK/Langchain and Python for AI agents and robust APIs.
Collaborate with product, operations, and architecture teams following Agile practices, including sprint planning, reviews, and retrospectives.
Minimum 2+ years of software engineering experience or equivalent through work experience, training, military service, or education.
Strong experience with Python-based backend platforms and Google ADK/Langchain technologies.
Experience with Agentic environments, MongoDB or any NoSQL database, MCP, and Kafka/Queues or workflow systems.
Basic understanding of cloud-native concepts; exposure to banking domain (KYC, Onboarding, Banking) beneficial but not explicitly mandatory.
Experienced backend engineer specialized in building AI agents and integrating with Google ADK/Langchain in production environments.
Comfortable working in Agile teams with ability to estimate tasks and actively participate in Agile ceremonies.
Has practical knowledge of operational excellence and enterprise-grade AI-assisted platforms, with some exposure to banking domain technology and compliance requirements.