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
● As a Senior AI Applied Software Engineer you are a technical cornerstone of your squad. You will design and deliver complex features with minimal guidance, ensuring that both the "engine" (Backend) and the "experience" (Frontend) are performant, secure, and scalable.
● Full SDLC Ownership: Lead the entire lifecycle of digital banking products—from initial idea and architectural design to release and maintenance.
● Architectural Excellence: Improve system architecture and design components that integrate smoothly across APIs and microservices.
● Technical Leadership: Act as a go-to resource for your team, mentoring junior engineers, conducting critical code reviews,
and raising the bar for engineering standards.
● AI & Innovation: Contribute to the evolution of LLM-based voice assistants and real-time personalization engines using OpenAI and ML models.
● Security-First Mindset: Implement "Entitlements" and fraud prevention services with a focus on non-functional requirements like security, scalability, and resilience.
● Collaborative Culture: Work in a Pod based model, collaborating with Architects, Product Owners, and UX Designers to align technical solutions with business needs.
How about you
● Experience: You have 5–7+ years of professional experience building complex, high-traffic products.
● Backend Mastery: Solid understanding of Java, Spring JPA/Hibernate, and Maven. Experience with Microservices (Netflix OSS is a plus) and Cloud technologies.
● Frontend Expertise: Solid skills in Angular and TypeScript. You are proficient with RxJS and modern