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Tier-1 brand, popular fullstack title, and Bangalore metro drive strong candidate competition.
Role requires specialist cloud, security, and LLM experience making background fit highly domain-specific.
Extensive mandatory technical stack and specialized GenAI/NetSec requirements increase shortlisting rigidity.
Lead design and implementation of a multi-tenant GenAI Security Platform focusing on AI system validation and adversarial attack protection.
Develop high-performance REST APIs, distributed system architecture, scalable micro-services, and real-time data-intensive dashboards.
Integrate LLM providers, build semantic search and AI evaluation pipelines, and manage Kubernetes-based production deployments.
Experience building and scaling multi-tenant SaaS platforms with strict data isolation.
Proficiency in JavaScript frameworks (React, Vue, or Svelte) with TypeScript and strong API design skills.
Hands-on experience with cloud platforms (GCP, AWS, or Azure) and Kubernetes/Docker production deployments.
Work Experience Required: Not explicitly mentioned in the JD. Notice period or visa sponsorship: No visa sponsorship provided for this role.
Experienced in production AI/ML system integration and scaling, including LLM APIs and operational challenges.
Strong background in distributed systems architecture, workflow orchestration, and infrastructure-as-code practices.
Familiarity with cybersecurity principles, API security, and AI safety concepts preferred but not mandatory.