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Tier-1 brand, metro location, and mid-level generalist title increase applicant density.
Requires specialized performance and LLM tooling expertise, limiting cross-industry transferability.
Mandatory 4+ years, LLM/ML expertise, and observability/performance skills enforce strict filters.
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Design, build, and deploy AI-powered internal productivity tools to enhance engineering team workflows and performance issue resolution.
Develop intelligent frameworks for automating performance anomaly detection, infrastructure health checks, and root cause analysis using telemetry, logs, and system metrics.
Collaborate with engineering, product, and AI research teams to innovate AI agent capabilities, benchmark system performance, and improve reliability of services.
4+ years coding experience required; strong proficiency in Python preferred, Java/C++ acceptable.
Related technical degree mandatory; Master’s preferred but not required.
Deep understanding of machine learning/AI fundamentals, especially LLMs, NLP concepts, inference orchestration, fine-tuning, and agentic workflows.
Strong problem-solving and collaboration skills; work location Bangalore or Hyderabad (implied).
Experienced in AI-focused software engineering with hands-on experience in LLMs and AI agent development within complex software environments.
Demonstrates ability to address performance and scalability challenges through AI-driven automation and tooling.
Able to work cross-functionally with diverse teams including engineering, product management, and AI research to iterate and advance AI productivity solutions.