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Mid-level Bangalore role with a generic title but specialized agentic AI skills moderates applicant competition.
Full-stack and cloud skills are transferable, but agentic AI and RAG frameworks create moderate domain specificity.
Explicit 2-4 years plus many mandatory frontend/backend/cloud and agentic AI tech requirements drives high strictness.
Design and develop end-to-end full-stack applications including frontend (React, Angular, Vue), backend (Node.js, Java Spring Boot, Python frameworks), and APIs.
Build and deploy agentic AI applications using multi-agent systems, autonomous workflows, and integrate LLM-based frameworks on cloud platforms (Azure, AWS, GCP).
Implement scalable microservices and event-driven architectures with best practices in code quality, testing, performance, security, and work with cross-functional teams on AI-driven system architectures.
2 to 4 years of experience in full-stack data science including cloud-native architectures and agentic AI.
Proficiency in full-stack development (React/Angular/Vue frontend, Node.js/Java Spring Boot/Python backend) and RESTful API design.
Hands-on experience with Azure, AWS, or GCP cloud platforms, Docker, Kubernetes, and CI/CD pipeline implementation.
Location requirement: Bangalore with hybrid work arrangement. Educational requirement: Bachelor's degree in CS, AI, Data Science, or related field.
Experienced in developing AI-driven, scalable, cloud-native full-stack applications with agentic AI and LLM integrations.
Skilled in microservices and event-driven backend architectures supporting intelligent solutions with focus on code quality and operational robustness.
Prepared to actively participate in architectural decisions and collaborate across teams to align technical implementations with business goals in a hybrid Bangalore setting.