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Mid-level 2–4 year ML/full-stack role in Bangalore with broad skill requirements, driving high applicant competition.
Role requires specialized agentic AI and LLM engineering skills, limiting cross-industry transferability.
Explicit 2–4 year requirement plus many mandatory technical stacks and agentic AI frameworks increases filter strictness.
Design and develop end-to-end full-stack applications including frontend, backend, and APIs, emphasizing cloud-native and agentic AI solutions.
Build and deploy multi-agent AI applications using modern frameworks and orchestrate intelligent, autonomous workflows.
Implement scalable backend systems with microservices and event-driven architectures on cloud platforms Azure, AWS, and GCP.
2 to 4 years of experience in full-stack data science with practical cloud-native and agentic AI exposure.
Proficiency in frontend frameworks (React, Angular, Vue) and backend development (Node.js, Java Spring Boot, Python frameworks like FastAPI, Django).
Experience with RESTful API design, microservices, Docker, Kubernetes, and CI/CD pipelines.
Location requirement: Bangalore with hybrid work arrangement.
Experienced in integrating LLM-based frameworks and agent orchestration tools like LangChain, LlamaIndex to build adaptive AI workflows.
Skilled in deploying AI-driven systems while ensuring performance, security, and scalability within cross-functional teams.
Holds relevant Bachelor’s degree in CS, AI, or Data Science along with cloud and full-stack development certifications.