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Tier-1 brand, metro hiring, popular AI engineering role with specialized LLM requirements.
Highly domain-specific LLM, agent orchestration, and Vertex/Gemini expertise limits cross-industry transferability.
Explicit 7+ years requirement and mandatory production LLM, Vertex, security, and distributed-systems skills.
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Lead design and development of scalable, secure agent orchestration frameworks and AI workflow automation across enterprise systems.
Integrate and optimize Gemini and Vertex AI models, build reusable SDKs, libraries, and high-code agent reference implementations in multiple languages.
Develop and maintain observability, safety guardrails, and performance optimization for AI-driven agent workflows, enabling enterprise-wide AI adoption.
7+ years software engineering experience with backend and distributed systems expertise.
Proficient in Python and at least one of Go, Java, or TypeScript with production LLM-based systems experience including prompt engineering and agent frameworks.
Experience with Vertex AI, Gemini APIs, enterprise AI platforms, API design, microservices, and cloud-native technologies (Docker, Kubernetes).
Strong knowledge of authentication, authorization, enterprise security patterns, and orchestration frameworks (e.g., LangChain, LlamaIndex).
Experienced in building or integrating multi-agent orchestration systems and autonomous workflow engines at scale.
Skilled at designing reusable, secure APIs and SDKs to enable cross-team AI development and integration with enterprise data systems (Salesforce, Snowflake, ServiceNow, SharePoint).
Comfortable driving AI production-quality standards, observability, governance, and cost/performance optimization in distributed backend environments.