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GenAI Backend Developer (ID: 3752)

Summary

Builds and maintains backend services for AI-driven conversational platforms using Java/Kotlin, Spring Boot, and Azure, integrating GenAI, RAG, and MCP.

Responsibilities

  • Design, develop, and maintain backend applications and APIs for AI-driven and conversational platforms
  • Build scalable microservices using Java, Kotlin, and Spring Boot
  • Develop and integrate AI-powered solutions using GenAI, ChatGPT, Agentic AI, RAG, and MCP concepts
  • Contribute to the development of chatbot and conversational AI solutions
  • Collaborate with cross-functional teams to design innovative customer-facing digital experiences
  • Work on cloud-native application development using Azure Cloud technologies
  • Translate business and technical requirements into scalable backend solutions
  • Participate in architecture discussions, technical design reviews, and solution implementation
  • Ensure high-quality, secure, and maintainable code through best development practices
  • Support continuous improvement initiatives and contribute innovative ideas to AI-driven product development

Qualifications

  • 4–6 years of experience in backend development using Java and Kotlin
  • Strong hands‑on experience with Spring Boot and microservices architecture
  • Experience working with AI and GenAI technologies including ChatGPT, Agentic AI, RAG, and MCP
  • Experience developing conversational AI platforms or chatbot solutions
  • Good understanding of REST APIs and backend integration patterns
  • Hands‑on experience with Azure Cloud services
  • Strong problem‑solving and analytical skills
  • Excellent communication and collaboration abilities
  • Innovative mindset with a strong eagerness to learn and explore emerging technologies
  • Ability to work effectively in Agile and fast‑paced development environments

Abilities

  • Build scalable and high-performing backend systems for AI-driven applications
  • Translate complex business requirements into practical technical solutions
  • Drive innovation and contribute creative ideas to conversational AI initiatives
  • Work independently while collaborating effectively with distributed teams
  • Deliver high-quality solutions with strong ownership and accountability
  • Adapt quickly to evolving technologies and project requirements

See also