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Mid-level popular backend role, strong employer brand, and broad skillset requirements increase applicant competition.
Core Java microservices skills transfer across industries, but agentic AI specialization increases domain specificity.
Explicit 5–10 years requirement plus mandatory Java, Spring Boot, cloud, and AI skills raise filtering strictness.
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Develop and maintain scalable backend applications using Java, Spring Boot, and microservices architecture.
Design and implement AI agent workflows and multi-agent systems incorporating LLM/Generative AI solutions into enterprise software.
Build and optimize REST APIs, event-driven architectures, and cloud-based (AWS/Azure) solutions ensuring performance, scalability, and code quality.
5+ years of professional experience in Java development with AI-based solution exposure.
Proficient in Java, Spring Boot, microservices, and backend technologies with strong database skills in PostgreSQL and MongoDB.
Experience with Agentic AI, Generative AI, LLMs, cloud platforms (AWS/Azure), Kafka, and distributed systems.
Notice Period: Not explicitly mentioned in the JD.
Experienced in designing and orchestrating multi-agent AI systems or workflows.
Familiar with AI safety concepts, guardrails, human-in-the-loop workflows, prompt tuning, model evaluation, and AI observability.
Back-end focused developer with dynamic skills in AI integration and cloud-native microservices development.