Job Opportunities API

The Job in Short  As a Senior Applied AI Software Engineer, you design and deliver complex AI-enabled product capabilities with minimal guidance. This role transitions away from siloed frontend/backend titles toward a T-shaped, full-stack profile spanning UI, APIs, services, and data pipelines. You serve as a technical authority who mentors peers and raises the bar on AI-native engineering practices.  Meet the Job  AI-Native Engineering: Lead the adoption of agentic tooling, LLM workflows, and AI automation within your team to accelerate the development lifecycle.  End-to-End Ownership: Deliver major product features and subsystems across the full stack, ensuring they are production-ready and secure.  Technical Authority: Act as the go-to resource for peers, reviewing designs and code critically while clarifying technical feasibility.  Strategic Problem Solving: Lead the resolution of complex cross-system issues and plan major refactoring initiatives.  Quality Excellence: Balance delivery speed with long-term maintainability, championing performance and accessibility standards.  How About You?  You have 6+ years of professional software engineering experience.  Backend Mastery:  Solid understanding of  Java ,  Spring JPA/Hibernate , and  Maven . Experience with  Microservices  (Netflix OSS is a plus) and Cloud technologies. System Design:  You have a solid grasp of  Enterprise Integration Patterns  and can design systems that handle complex data flows between services. The "Senior" Edge:  You don't just solve tickets; you identify gaps in tooling, reduce technical debt, and optimize CI/CD pipelines to streamline delivery. Communication:  Excellent English (spoken and written). You can confidently explain technical concepts to non-technical stakeholders and get buy-in for your architectural decisions. Domain Knowledge:  Previous experience in  Fintech or Banking  is highly considered an advantage.