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Tier-1 employer and Bangalore location increase density, but seniority and niche LLM skill reduce competition.
Requires backend architecture, AWS, and GenAI integration, yielding moderate cross-industry transferability.
Explicit 8+ years and mandatory Java, AWS, and LLM integration skills impose strict filters.
Lead architecture, design, and development of Java-based microservices and Spring Boot applications.
Build and deploy AI-enabled solutions leveraging AWS services including AWS Bedrock and SageMaker.
Provide technical leadership and mentorship to engineering teams, ensuring code quality and scalable delivery.
8+ years of professional experience in software development.
Strong expertise in Java, Spring Boot, and Microservices architecture.
Experience with AWS platform, including application deployment and integration with AI services like AWS Bedrock and SageMaker.
Experience or exposure to Agentic AI, AI orchestration frameworks, or development of AI-powered applications.
Experienced in leading engineering teams with a focus on architecture and coding standards.
Skilled in designing scalable distributed systems and integrating AI/ML services into solutions.
Familiar with cutting-edge GenAI platforms and AI orchestration, comfortable working in cloud-native environments.