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Mid-level (4-6yrs), metro Bengaluru, generalist Lead title and broad full-stack/cloud requirements increases competition.
Core full-stack and cloud skills are transferable, but AI-agent and prompt-engineering expertise add moderate industry specificity.
Explicit 4–6 years plus many mandatory frontend, backend, cloud, database, and AI-agent skills creates strict screening.
Lead development and oversight of AI autonomous coding agents to generate, refactor, and scaffold full-stack features in Angular and Python environments.
Audit, validate, and optimize AI-generated code focusing on security, performance, and architectural alignment within AWS and GCP cloud infrastructures.
Engineer and maintain API and data layers, including GraphQL, RESTful APIs, and SQL/DynamoDB databases, while implementing comprehensive testing frameworks to ensure code quality and eliminate AI code hallucinations.
4 to 6 years of full-stack development experience with hands-on expertise in AI-generated code for cloud-native web applications.
Proficiency in Angular, TypeScript, Python, GraphQL, RESTful API, Amazon DynamoDB, relational SQL databases (PostgreSQL/MySQL).
Strong knowledge of AWS and GCP infrastructure, deployment, and monitoring.
Bachelor's degree in Computer Science, IT, Software Engineering or closely related field.
Experienced in directing and optimizing autonomous AI coding agents and skilled in prompt engineering to maximize code accuracy.
Demonstrated ability to audit and secure cloud-native applications across AWS and GCP environments, mitigating risks such as SQL injection and authorization issues.
Familiar with integrating CMS platforms and implementing rigorous unit, integration, and end-to-end testing frameworks in a fast-paced dev environment.