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Mid-level fullstack in Bengaluru with common title and metro location increases applicant competition.
Requires agentic AI, LLM, and vector DB expertise, making background fit highly domain-sensitive.
Mandatory 6+ years and extensive AI, full-stack, cloud, and containerization requirements make shortlisting strict.
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Develop and integrate autonomous AI capabilities into enterprise software using end-to-end AI-driven applications.
Build and maintain scalable front-end interfaces (React, Angular, Vue.js) and robust back-end services (Node.js, Python).
Deploy and optimize AI applications on cloud platforms (AWS, GCP, Azure) with focus on security, scalability, and performance.
Bachelor’s degree in Computer Science, Software Engineering, or related field (or equivalent experience).
6+ years of experience in full-stack development with scalable, production-ready systems.
Proficiency in JavaScript/TypeScript, Python, modern front-end frameworks, AI model integration via APIs, and cloud platforms with containerization.
Experience with agentic AI frameworks (LangChain, AutoGen, CrewAI), vector databases, embeddings, RESTful/GraphQL APIs, and database technologies (SQL, NoSQL).
Experienced in building and deploying AI-driven software solutions with deep integration of generative AI and agentic frameworks.
Capable of designing scalable architectures and optimizing AI inference and API performance in cloud environments.
Skilled at collaborative development with cross-functional teams to deliver complex, end-to-end AI applications.