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Metro location, generalist engineering manager role, and broad backend skillset increase applicant competition.
Strong backend and agentic AI domain knowledge required reduces cross-industry transferability.
Explicit 8–10 years requirement, 1–2 years management, and specific tech skills make filters strict.
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Lead and grow a team of 8–10 engineers building agentic AI products from design through production deployment and iteration.
Own delivery including architecture, design, implementation, deployment, and ensuring production quality and reliability.
Stay hands-on by contributing to system design, writing and reviewing code, solving complex technical challenges, and driving engineering best practices.
8–10 years of software engineering experience with 1–2 years in engineering management.
Proven experience managing a team of 8–10 developers and shipping production-ready products.
Strong programming skills in Python and/or Go, with solid system design and API architecture experience.
Familiarity with Git workflows, CI/CD pipelines, and deployment processes.
Experienced engineering manager who remains hands-on with technical challenges and code contribution.
Demonstrated ability to architect distributed systems and drive high engineering standards in building scalable AI products.
Background or exposure to agentic AI or LLM-based products and familiarity with modern cloud, containerization (Docker), and database technologies (MongoDB) preferred but not mandatory.