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Epergne Solutions

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Senior AI Software Engineer

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Summary

Designs, develops, and optimizes production-grade AI products and full-stack applications at Epergne Solutions in Abu Dhabi: building scalable APIs and reusable services (API-first, event-driven), cloud-native solutions on Azure, with security, testing, and CI/CD. Stack spans Python/Rust/Go, React/Angular/Vue, Docker/Kubernetes, plus GenAI/agentic frameworks.

Job Role

Senior AI Software Engineer

Job Location

Abu Dhabi, UAE

Experience

5+ Years

Role Overview

Design, develop, and optimize production-grade AI products and full-stack applications, working closely with engineering, data, UX, and product teams.

Key Responsibilities
  • Develop scalable full-stack applications and APIs using API-first and event-driven architectures.
  • Build reusable components, services, and libraries using modern frameworks.
  • Develop cloud-native solutions on Azure or other major cloud platforms.
  • Optimize frontend/backend systems for performance, scalability, usability, and security.
  • Implement authentication, data protection, and security best practices.
  • Collaborate with UI/UX, engineering, product, Data Science, and Data Engineering teams.
  • Develop unit, integration, and end-to-end tests to ensure production quality.
  • Drive continuous improvement through modern technologies, engineering practices, and AI trends.
Requirements & Skills
  • 5+ years of software/product development experience, preferably in AI products.
  • Strong full-stack development experience across backend and/or frontend.
  • Proficiency in Python, Rust, Go, React, Angular, Vue.js, or similar technologies.
  • Strong experience designing secure, production-grade APIs, including API versioning, monitoring, tracing, logging, and modern authentication.
  • Hands-on experience with Docker and Kubernetes.
  • Experience with CI/CD, Git/version control, and deployment automation.
  • Exposure to AI/ML, GenAI, Agentic AI, and frameworks such as LangGraph or Microsoft Agent Framework is an advantage.
  • Strong understanding of cloud-native and scalable system architecture.
  • Bachelor?s degree in Computer Science, Engineering, or related field.
  • Banking Exposure is preferred.

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