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Mid-level Bangalore hybrid role with common experience and broad full-stack plus AI skills yields moderate competition.
Specialized agentic AI plus cloud-fullstack skills moderately restrict cross-industry transferability.
Requires diverse mandatory full-stack, cloud, containerization, and agentic AI skills, so screening will be strict.
Design and develop full-stack applications including frontend, backend, and APIs using React/Angular/Vue and Node.js/Java/Python frameworks.
Build, deploy, and maintain agentic AI applications leveraging multi-agent systems, autonomous workflows, and LLM-based frameworks on cloud platforms (Azure, AWS, GCP).
Ensure code quality, scalability, security, and collaborate in technical design and architecture for AI-driven systems.
2 to 4 years of experience in full-stack data science with cloud-native architectures and agentic AI frameworks.
Proficiency in frontend (React, Angular, Vue) and backend (Node.js, Java Spring Boot, Python FastAPI/Django) development plus RESTful API and microservices.
Hands-on experience with Azure, AWS, or GCP, Docker, Kubernetes, CI/CD pipelines, and agentic AI frameworks like LangChain, LlamaIndex, or Semantic Kernel.
Bachelor's degree in Computer Science, AI, Data Science or related; Bangalore location with hybrid work arrangement.
Experienced in designing end-to-end AI-driven full-stack solutions on multi-cloud environments with strong operational understanding of microservices and container orchestration.
Skilled in integrating LLM-based frameworks and implementing multi-agent autonomous workflows to create scalable intelligent applications.
Comfortable contributing to architectural and design decisions in cross-functional teams within a hybrid onsite/remote setup in Bangalore.