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Mid-level generic backend role in Bangalore with broad skill needs at a known AI startup increases applicant competition.
Core backend and infrastructure skills transfer across industries, while AI-evals specialization moderately narrows fit.
Explicit 4+ years plus required backend, distributed systems, and observability experience creates moderate filtering.
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Build and own large-scale backend systems to measure, explain, and improve AI assistant and agent quality at scale, including evaluation pipelines and observability infrastructure.
Design and implement infrastructure for evaluating frontier and open-source model releases impacting customer AI experiences.
Lead backend system architecture, deployment, monitoring, and iteration ensuring reliability, security, scalability, and cost efficiency in cloud-native environments.
4+ years of experience in software engineering focusing on backend systems, infrastructure, or distributed/data platforms.
Proficiency in languages such as Go, Python, Java, or C++ emphasizing reliability and scalability.
Experience with distributed data pipelines, observability systems, or cloud-native infrastructure.
Location requirement: Must be based and work in person in Bangalore, India.
Experienced in building and operating scalable distributed backend systems supporting AI quality and evaluation workflows.
Analytically rigorous with strong focus on real user experience metrics and product quality.
Comfortable working cross-functionally in customer-focused environments and mentoring engineering teams.