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 a solid background of at least 6+ years in software development including design;

● You are able to communicate clearly and confidently across all levels to get buy-ins from technical stakeholders as well as from your team members;

● Experience in the banking domain or Fintech products will be considered an advantage;

● You have excellent communication skills in English, spoken and written;

● You have a solid understanding of Java, Micro services, SpringBoot, Maven, CI and CD;

● You have experience with relational databases and Spring JPA / Hibernate;

● You have experience with microservices (Netflix OSS is a plus); Cloud and Apache Tomcat;

● You have experience with non-functionals such as security, performance, scalability etc.;

● You have a solid understanding of Enterprise Integration Patterns.

Senior AI Applied Software Engineer (Java Backend)