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Hybrid/remote flexibility plus popular AI focus increases candidate competition moderately.
AI and backend skills transfer across industries, though fintech/regulatory experience increases domain specificity.
Strong mandatory tech stack (Java/Spring, distributed systems, GenAI) but no explicit years, so moderate filtering.
Design, develop, and maintain scalable Java/Spring Boot backend systems and AI-driven solutions for wealth management platforms.
Lead technical design and implementation of medium-to-large product features, and mentor junior engineers.
Leverage AI tools and Agentic AI frameworks throughout product development lifecycle to enhance delivery and build AI Agent workflows.
Strong expertise in Java, Spring Boot, REST APIs, and distributed systems.
Hands-on experience with GenAI/Agentic AI technologies and LLM integrations.
Experience building scalable, high-performance backend applications.
Work Experience Required: Relevant software development experience (specific years not mentioned).
Experienced engineer comfortable independently delivering complex features and leading technical design discussions.
Proven ability to troubleshoot complex production issues and optimize system performance and reliability.
Familiarity with AI frameworks, coding best practices, CI/CD, and working in Agile development environments preferred.