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Strong Tier-1 brand, mid-level generalist role, metro location and broad skills drive high applicant competition.
Core backend engineering skills are transferable, but banking domain and AI tooling require moderate domain familiarity.
Explicit 3+ years requirement plus mandatory Python/Java and AI tooling experience increases filtering strictness.
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Design, develop, and troubleshoot secure, stable, and scalable software products primarily using Python, Java, and AI frameworks within an agile environment.
Leverage AI-assisted development tools for code generation, refactoring, testing, and documentation while validating outputs through peer review and automated testing.
Analyze large and diverse data sets to inform decision-making to ensure application security and stability across the software development life cycle.
Minimum 3 years of applied software engineering experience with formal training or certification.
Proficiency in Python, Java, AI frameworks/tools, and hands-on experience with the entire Software Development Life Cycle.
Experience working in large corporate environments with modern programming and database querying languages.
Experience using enterprise-authorized AI-assisted software development tools and knowledge of responsible AI use including security and data sensitivity.
Experienced in agile methodologies including CI/CD, security, and application resiliency practices.
Capable of critically evaluating and refining AI-generated code and artifacts to ensure performance, correctness, and security.
Working knowledge of cloud technologies and modern front-end development technologies is a plus but not mandatory.