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Tier-1 brand, metro locations, and popular AI domain increase applicant density despite seniority.
Highly specialized ML/AI agent and production infrastructure expertise limits cross-industry transferability.
Explicit 10+ years plus mandatory deep LLM, distributed systems, and cloud-native expertise.
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Design and implement enterprise-grade AI agent orchestration frameworks including multi-agent collaboration, lifecycle management, and workflow chaining.
Lead integration and standardization of Gemini and Vertex AI models, developing reusable SDKs and optimizing prompt engineering and API consumption.
Build high-code agent frameworks and secure integration patterns for enterprise systems, establish observability and safety controls for AI workflows, and provide technical leadership for AI-enabled applications.
10+ years of software engineering experience with strong background in distributed systems and backend architecture.
Proficiency in Python plus at least one of Go, Java, or TypeScript with production experience in LLM-based systems and agent frameworks.
Experience with Vertex AI, Gemini APIs or similar enterprise AI platforms and strong knowledge of API design, microservices, Kubernetes, and cloud-native architectures.
Experience building or integrating orchestration frameworks and strong understanding of enterprise security including authentication and authorization.
Deep technical expertise in distributed systems and LLM architectures capable of translating AI theory into production-grade systems.
Experience leading integration of AI platforms and building reusable, scalable AI agent platforms rather than point solutions.
Strong familiarity with enterprise data systems (Salesforce, Snowflake, ServiceNow, SharePoint) and developing secure, observable AI workflows with governance and safety controls.