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Tier-1 brand and metro location increase applicant density, but senior and specialized ML/AI requirements limit generic applicants.
Demands specialized GenAI/LLM and cloud engineering experience, moderately limiting cross-industry transferability.
Requires specialized GenAI/LLM, cloud, container, and database skills, enforcing strict technical filters.
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Architect and lead delivery of scalable, cloud-native software systems integrating Generative AI and Large Language Models (LLMs).
Own end-to-end design, implementation, and production deployment of AI-powered platform capabilities with Multi Agent orchestration familiarity.
Lead architectural reviews, set engineering best practices, and drive cross-functional collaboration with product, data science, security, and infrastructure teams.
Bachelors degree in computer science or related technical field.
Hands-on experience with Python, Go, or TypeScript programming languages.
Experience building or integrating Generative AI or LLM-based solutions and familiarity with agentic AI concepts/frameworks (e.g., MCP, A2A).
Work Experience Required: Not explicitly mentioned in the JD
Senior-level engineer capable of leading architecture and technical direction for AI-first cloud-native platforms.
Versatile full-stack developer comfortable with backend, frontend, DevOps, and AI-enhanced coding workflows.
Experienced in collaborative cross-functional environments involving product, data science, security, and infrastructure stakeholders.