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Tier-1 brand, generic Software Engineer title, metro location, and mid-level experience amplify competition.
Core backend and agent-focused AI skills transfer across industries, though banking domain exposure raises specificity.
Multiple mandatory technical requirements (Langchain, Python backend, MongoDB, Kafka) and banking exposure increase strictness.
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Participate in design, coding, testing, debugging, and documentation for low to moderately complex technology projects including installation, upgrades, and deployments.
Design and build AI Agents using Google ADK/Langchain and implement production-grade backend APIs and workflows within an Agile engineering framework.
Identify opportunities for service quality and availability improvements and collaborate across product, operations, and architecture teams to meet enterprise-grade standards.
Minimum 2+ years of software engineering experience (via work, training, military experience, or education).
Strong experience in Python backend development and Google ADK/Langchain technologies.
Experience with MongoDB or other NoSQL databases, message queues (Kafka), and workflow/task-based processing.
Experience working in Agile environments with ability to estimate work and participate in sprint planning and reviews.
Proven capability in backend engineering with a focus on AI-assisted platforms using Google ADK and Langchain.
Experience operating within agentic environments and implementing robust scalable APIs and workflows, suitable for enterprise banking domains such as KYC and onboarding.
Comfortable working in Agile teams collaborating with product, operations, and architecture stakeholders and prioritizing operational excellence and compliance.