tailk
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.