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Mid-level generalist fullstack role, metro location, broad cloud and GenAI skillset increases applicant competition.
Fullstack and cloud skills transfer well, but GenAI/LLM requirement raises specialization, so medium sensitivity.
Explicit 5–7 years plus mandatory fullstack, cloud, CI/CD, and GenAI skills.
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Design and develop scalable full stack applications incorporating AI-powered solutions using large language models (LLMs).
Lead architecture discussions, mentor developers, and collaborate with cross-functional teams.
Optimize application performance, security, and scalability in cloud-native environments.
5–7 years of relevant work experience.
Proficient in React.js, Next.js, TypeScript, Node.js or Python.
Experience with Generative AI, OpenAI, LLM integrations, and prompt engineering tools like LangChain.
Familiarity with microservices, REST APIs, AWS or Azure, and containerization technologies such as Docker and Kubernetes.
Hands-on experience building AI-powered full stack applications, especially using LLMs and associated frameworks.
Experience operating in cloud-native architectures with DevOps tools like CI/CD pipelines and container orchestration.
Ability to lead architecture decisions and mentor developers effectively in a hybrid work model during 2PM-11PM IST shift.