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Strong employer brand, metro location, and senior specialist role create moderate applicant competition.
Deep platform and AI-infrastructure experience required, limiting easy cross-industry transfers.
Explicit 10–15 years requirement plus deep platform and AI-infrastructure expertise creates strict filters.
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Own and lead major AI platform initiatives involving backend, infrastructure, and AI-enabled systems, ensuring cross-functional alignment and technical leadership.
Design, build, and maintain scalable, reliable platform systems supporting agents, evaluation, workflows, model quality, sandboxing, and latency-sensitive operations.
Write, review, and debug production code while driving architectural decisions and raising engineering standards through mentoring and technical guidance.
10–15 years of software engineering experience with backend, platform, infrastructure, distributed systems, AI platform, or product engineering focus.
Proficient hands-on coding skills in one or more of Python, Java, Go/Golang, C++, Scala, Kotlin, or C#.
Proven experience building and operating large-scale distributed systems in production.
Experience in high-growth or hyper-growth startup/product environments preferred.
Technical leader comfortable operating hands-on at code and architecture level within ambiguous, cross-functional AI platform projects.
Strong background in building and scaling distributed, backend or infrastructure systems with solid system design knowledge spanning APIs, concurrency, reliability, and observability.
Experience or strong interest in AI agents, LLM infrastructure, automation platforms, evaluation systems, or model-quality pipelines within fast-paced, platform-heavy SaaS or AI-native companies.