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Mid-level backend at known startup in Bangalore with broad skills attracts high applicant competition.
AI-eval and observability specialization moderately limits cross-industry transferability.
Explicit 4+ years and mandatory backend/infrastructure skills create moderate filtering.
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Own and develop large-scale backend systems for AI evaluation pipelines measuring assistant and agent quality across thousands of workflows.
Build infrastructure to evaluate new frontier and open-source language models, detecting regressions and readiness for production.
Create agent observability tools including telemetry pipelines, dashboards, and debugging workflows to make AI behavior inspectable and actionable.
4+ years of software engineering experience building backend, infrastructure, or distributed systems.
Strong coding ability in Go, Python, Java, C++, or similar languages focused on reliability and scale.
Experience with distributed data pipelines, production services, observability systems, or cloud-native infrastructure.
Location requirement: In-person role in Bangalore, India.
Experienced in building scalable, reliable distributed backend systems influencing AI product quality.
Analytically rigorous with emphasis on metrics that reflect real user experience and product impact.
Comfortable collaborating with product, ML, and infrastructure teams in customer-focused, cross-functional environments.