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Mid-level AI role in Bangalore with common experience band and broad full-stack/ML requirements.
Requires specialized ML and agentic AI experience, but full-stack skills remain transferable.
Explicit 4-6 years plus mandatory ML, cloud, agentic AI and full-stack tech requirements.
Design, develop, and deploy end-to-end full-stack intelligent applications integrating frontend, backend, and APIs using modern frameworks.
Build cloud-native, scalable backend systems leveraging Azure, AWS, or GCP platforms with microservices and event-driven architectures.
Develop and implement agentic AI applications and multi-agent systems using LLM-based frameworks and agent orchestration tools, ensuring code quality and performance optimization.
4 to 6 years of experience in ML engineering with hands-on work on cloud-native architectures and agentic AI frameworks.
Advanced proficiency in Python and JavaScript/TypeScript and experience with frontend frameworks (React, Angular, Vue) and backend (Node.js, Java Spring Boot, or Python frameworks like FastAPI or Django).
Hands-on experience with cloud platforms (Azure, AWS, GCP), containers (Docker), microservices, RESTful APIs, and basic Kubernetes understanding.
Bachelor's degree in Computer Science, AI, ML, Data Science or related field; Location requirement: Bangalore (Hybrid).
Experienced in designing and deploying full-stack AI solutions combining modern frontend, backend, and cloud technologies at scale.
Strong background in agentic AI frameworks and multi-agent architectures with knowledge of prompt engineering and Retrieval-Augmented Generation (RAG).
Capable of collaborating effectively in cross-functional teams to translate business requirements into scalable and secure technical solutions.