





Tier-1 brand, metro location, generalist Software Engineer title, and mid-level experience increase competition density.
Specialized AI-agent and banking domain requirements make cross-industry transferability limited.
Explicit 2+ years plus mandatory tech stack (Python, Google ADK/LangChain, MongoDB, Kafka) and banking domain raise strictness.
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Participate in low to moderately complex technology projects including installation, upgrades, and deployments, with accountability for design, coding, testing, debugging, and documentation.
Design and develop AI Agents using Google ADK/Langchain focusing on backend engineering, building production-grade agents, robust APIs, workflows, and task-based processing suitable for enterprise-grade AI-assisted servicing platforms.
Collaborate across product, operation, and architecture teams, actively participate in Agile ceremonies, and identify opportunities to improve service quality and availability within the technology domain environment.
Minimum 2+ years of software engineering experience or equivalent demonstrated through work experience, training, military experience, or education.
Strong experience with Python-based backend platforms, Google ADK/Langchain, agentic environments, MongoDB or any NoSQL database, and MCP.
Experience with Kafka/queues, workflows, and exposure to banking domain concepts such as KYC, onboarding, and banking.
Familiarity with Agile delivery practices and cloud-native concepts. Notice period: Not explicitly mentioned in the JD.
Experienced in designing and building enterprise-grade AI-assisted platforms with a focus on backend architecture using Google ADK/Langchain and Python.
Able to work on moderate complexity projects involving integration, task automation, and API development within regulated banking environments.
Proficient in Agile methodologies and cross-functional collaboration with product, operations, and architecture teams in fast-paced delivery cycles.