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Tier-1 brand, generalist title, metro location, mid-level experience increase candidate competition.
Backend and AI agent skills transfer broadly, though banking domain experience increases fit sensitivity.
Specific Langchain/Google ADK, Python backend, databases and messaging make filters strict.
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Drive design, coding, and deployment of AI-assisted backend platforms using Google ADK/Langchain focusing on agentic environments and robust API/workflow creation.
Participate in Agile delivery including sprint planning, reviews, and retrospectives ensuring operational excellence and enterprise-grade standards.
Identify and improve service quality and availability within technology domain while addressing low to moderately complex technical challenges relevant to security and compliance.
Minimum 2+ years of software engineering experience (via work, training, military, or education).
Strong Python backend development skills with hands-on experience in Google ADK/Langchain and agentic environments.
Experience with MongoDB or any NoSQL database, Kafka/Queues, and workflow implementations.
Exposure to banking domain (KYC, Onboarding, Banking) and familiarity with cloud-native concepts and Agile delivery practices.
Experienced backend engineer proficient in AI agent development using Google ADK/Langchain in production-grade environments.
Comfortable working collaboratively across product, operations, and architecture teams within Agile frameworks.
Understands security, compliance, and risk considerations relevant to banking technology products.