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Mid-level requirement, metro Bangalore location, and accessible corporate brand drive moderate applicant competition.
Agentic AI skills are transferable but banking security and integrations raise moderate industry specificity.
Explicit minimum years, mandatory AI agent experience and technical security requirements increase screening strictness.
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Engineer, maintain, and deliver complex, high-quality software solutions within a feature team covering full software lifecycle from development to decommissioning.
Collaborate with engineers, architects, and business analysts to design, produce, test, and implement secure, scalable, and robust software and integrations involving AI agents and orchestration frameworks.
Produce software rapidly that adds value, focusing on customer-centric, secure, and high-performance systems with emphasis on best practices for scalability, automation, and performance.
At least 4 years of experience with AI agents, LLM APIs, or orchestration frameworks such as LangChain, MCP, React-style agents.
Proficiency in at least one modern programming language like Python, JavaScript, or TypeScript.
Experience building integrations between onboarding systems, APIs, data services, and internal platforms with understanding of authentication and secure data handling.
Work location must be in India with normal working days physically based there.
Senior analyst level software engineer with strong expertise in AI agent technologies and orchestration frameworks.
Experienced in full software development lifecycle including architecture, coding, testing, deployment, and operations in complex, scalable, secure environments.
Collaborative operator capable of working across teams and stakeholders to optimize software engineering capabilities and deliver customer-centric solutions.