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Tier-1 employer and metro locations increase applicant density, but role's LLM specialization reduces it.
Role requires specialized LLM, agent orchestration, and Vertex AI expertise, limiting cross-industry transferability.
Mandatory 6+ years plus LLM, Vertex, distributed systems, and security requirements increase strictness.
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Lead development and optimization of enterprise-grade agent orchestration frameworks supporting multi-agent workflows, tool use, and automation.
Integrate and standardize Gemini and Vertex AI models across engineering teams, including developing SDKs, prompt engineering, and secure API consumption.
Build high-code agent reference implementations, maintain observability, safety, governance, and support adoption of AI development platforms within the organization.
6+ years of software engineering experience with backend and distributed systems expertise.
Proficient in Python plus at least one of Go, Java, or TypeScript with hands-on production experience in LLM-based systems including prompt engineering and agent frameworks.
Experience with Vertex AI, Gemini APIs, OpenAI APIs, or similar enterprise AI platforms; strong API design, microservices, and cloud-native knowledge (Docker, Kubernetes).
Work Experience Required: 6+ years in software engineering (explicitly mentioned).
Technical leader with deep expertise in building scalable, secure AI orchestration and multi-agent systems.
Experienced in backend distributed systems and enterprise AI integrations, able to produce production-grade, reusable code and SDKs.
Familiar with enterprise security patterns, observability pipelines, cost and performance optimization in AI workflows.