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Tier-1 brand, metro location, generalist software title increases applicant density despite niche agent expertise.
Requires specialized AI agent, developer-tooling and large-scale production experience, limiting industry transferability.
Explicit 7+ years and specialized agent/ML and production systems requirements enforce strict filtering.
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Design and implement AI agents that autonomously handle engineering workflows like test generation, failure triage, and code analysis at scale.
Build and scale orchestration layers and quality readiness scoring platforms to integrate agents into developer infrastructure such as CI/CD, code reviews, and collaboration tools.
Develop agent ecosystems including shared toolchains and plugin architectures to enable enterprise-wide agent deployment and continuous performance evaluation.
7+ years of software engineering experience building production systems at scale.
Strong proficiency in Java, Python, or TypeScript.
Experience building AI agents or agentic systems involving structured prompting, tool use, multi-step reasoning, and context management.
Solid understanding of software testing, CI/CD pipelines, and developer tooling.
Experienced in designing and operating reliable large-scale, multi-tenant systems with complex developer workflows.
Background in AI-driven developer productivity tools, code intelligence, or test automation within large enterprise codebases.
Capable of breaking down complex ambiguous problems into iterative, shippable increments while driving adoption across engineering teams through high-quality tooling and developer experience.