Senior AI Engineer

Backbase
Hyderabad, India
On-site

Who this role is best for

Best suited to full-stack engineers with AI expertise working in Fintech or Banking, who can lead product development and mentor teams in a collaborative Pod-based model.

Best fit for

  • Candidates with 5–7+ years of experience in high-traffic product development and a strong grasp of both frontend and backend technologies
    — “You have 5–7+ years of professional experience building complex, high-traffic products.”
  • Individuals with prior experience in Fintech or Banking, who can align technical solutions with domain-specific needs
    — “Previous experience in Fintech or Banking is highly considered an advantage.”
  • Engineers who can act as technical mentors and raise engineering standards through code reviews and architectural decisions
    — “Technical authority who mentors peers and raises the bar on AI-native engineering practices.”

Things to consider

  • The role demands full ownership of the SDLC, from idea to maintenance, which requires strong project management skills
    — “Lead the entire lifecycle of digital banking products—from initial idea and architectural design to release and maintenance.”
  • A strong command of Java, Spring JPA/Hibernate, and Maven is a critical requirement for this position
    — “Solid understanding of Java, Spring JPA/Hibernate, and Maven.”

How to stand out

  • Highlight experience in mentoring and improving engineering standards through code reviews and system design
    — “Mentoring junior engineers, conducting critical code reviews, and raising the bar for engineering standards.”
  • Emphasize contributions to AI-native systems and LLM-based voice assistants in your resume and interviews
    — “Contribute to the evolution of LLM-based voice assistants and real-time personalization engines.”
  • Showcase your ability to design scalable microservices and cloud-based systems with integration patterns
    — “Design components that integrate smoothly across APIs and microservices.”
Pace · Fast PacedCollaboration · HighAutonomy · MediumDecision Impact · Team

Derived from job-description analysis by Serendipath's career intelligence engine.

What success looks like

  • Designed and delivered complex AI-enabled product capabilities
  • Improved system architecture and design components
  • Mentored junior engineers
Typical background
software engineerAI engineer

Skills & requirements

Required

JavaSpring Jpa/hibernateMavenAngularTypeScriptRxjsWebpackJenkinsMicroservicesCloud Technologies

Preferred

Vue.jsFintech Experience

Stack & domain

JavaSpring Jpa/hibernateMavenMicroservicesCloud TechnologiesAngularTypeScriptRxjsWebpackJenkinsVue.jsFintechBanking

About the role

Original posting from Backbase via Greenhouse

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

● 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: Strong skills in Angular and TypeScript. You are proficient with RxJS and modern build systems (Webpack, Jenkins). Experience with Vue.js is a plus.

● 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.

Source: Backbase careers (Greenhouse)

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