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Strong employer brand and metro location but senior niche role reduces overall applicant density.
Requires deep ML infrastructure and LLM platform experience limiting cross-industry transferability.
Explicit 8+ years, specialized ML/LLM infrastructure, and leadership expectations create strict shortlisting filters.
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Lead architecture and delivery of Zendesk's GenAI platform capabilities including LLM Proxy, model registries, benchmarking, cost control, and orchestration across product lines.
Design and scale evaluation and benchmarking frameworks to gate and continuously monitor model releases for safety, tone, reasoning, and quality.
Drive platform reliability, observability, capacity planning, and collaborate with cross-functional teams on risk, cost, and quality tradeoffs while mentoring senior engineers.
8+ years industry experience in backend, platform, or ML infrastructure engineering with major production responsibilities.
BS in Computer Science, Engineering, or related field, or equivalent practical experience.
Experience with cloud-native infrastructure (Kubernetes, AWS/GCP/Azure) and production ML/LLM systems.
Location requirement: Must be based in and able to work on-site part-time from Karnataka or Maharashtra (Pune, India).
Proven track record delivering large, cross-team distributed systems and ML infrastructure projects to production at scale.
Deep expertise with LLMs, inference serving patterns, evaluation frameworks, and ML platform design including cost optimization and reliability engineering.
Able to integrate product, research, engineering, and legal inputs into pragmatic platform solutions and lead technical strategy and mentoring at senior engineering levels.