Senior AI Engineer

EDYODA; Hyderabad; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

EdYoda is hiring a Senior AI Engineer in Hyderabad to design and deliver AI-enabled product features across UI, APIs, and data pipelines. You will own the full SDLC from concept to release, mentor peers, and raise engineering standards.

The role emphasizes secure, scalable, and resilient systems with a fintech domain focus. You should have 5–7+ years of experience in Java backend, Spring JPA/Hibernate, Angular, TypeScript, and cloud technologies, with knowledge of microservices, Netflix OSS, and

Qualifications

• 5–7+ years of professional experience building complex, high-traffic products.
• Strong backend mastery with Java, Spring JPA/Hibernate, and Maven.
• Experience with Microservices architectures and cloud technologies.
• Frontend expertise in Angular and TypeScript, with RxJS.
• Knowledge of modern build tools and CI/CD pipelines.
• Domain experience in Fintech or Banking is advantageous.

Responsibilities

• Lead the full SDLCOwnership from idea to release and maintenance.
• Design and deliver AI-enabled features across UI, APIs, and services.
• Mentor peers, review code, and raise engineering standards.
• Advance AI-native engineering practices with LLM-based capabilities.
• Ensure security, scalability, and resilience in systems.

Skills

Java

Spring JPA/Hibernate

Maven

Microservices

Angular

TypeScript

RxJS

Vue.js

CI/CD

Tools

Netflix OSS

Cloud technologies

Job description

# Senior AI EngineerWorkatbackbaseHyderabadSoftware & ITApplications go directly to Workatbackbase — EdYoda does not collect your application.Apply now## Job descriptionThe job in shortAs 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.