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Tier-1 employer and metro location increase applicant density, but seniority and niche LLM-agent skills limit competition.
Highly specialized ML/AI agent and platform expertise produces strong domain bias and limited cross-industry transferability.
Mandatory 12+ years, Staff-level leadership, and specialized LLM-agent experience create highly strict shortlisting filters.
Lead architecture initiatives for the Eval platform including virtualization/harness layer and agent plan-then-execute engine.
Develop model orchestration to route tasks dynamically to cost-effective LLM models while monitoring cost and performance.
Design scalable telemetry systems for full auditability and cost accountability; drive roadmap and governance including automation and tooling.
12+ years software engineering experience with large-scale distributed systems or developer platforms.
Hands-on experience building or operating LLM-agent systems with orchestration and plan-and-execute patterns.
Proficiency in Python, Java, Spring Boot, GraphQL, React, and systems programming including virtualization/sandboxing.
Work Experience Required: 12+ years; Notice Period: Not explicitly mentioned in the JD.
Proven Staff+ level capability setting cross-team technical direction in complex, research-driven environments.
Experience in large-scale systems integrating LLM agents with cost-aware orchestration and telemetry.
Background in building or contributing to AI/LLM evaluation frameworks, policy-as-code pipelines, or enterprise agent tooling.