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Senior, niche ML-agent role at VC-backed Bangalore startup with specialized requirements limits broad applicant competition.
Highly specialized ML-agent and MLOps architecture expertise limits cross-industry transferability.
Explicit 8+ years, Principal-level title, and mandatory ML/agent architecture expertise impose strict screening filters.
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Own architecture and execution for core product areas including agent-driven engine, applications, and context graph with end-to-end responsibility.
Convert product direction into detailed technical plans including estimates, milestones, trade-offs, and risk assessments across multiple dimensions like correctness, latency, and cost.
Mentor senior engineers, review technical documents, manage unblock planning, and partner cross-functionally to drive clarity and delivery without direct reporting authority.
8+ years as a Staff+/Principal engineer, architect, or technical lead with demonstrated ownership of multi-team architecture and execution.
Strong foundation in distributed systems with knowledge in agent systems, ML engineering, ML platforms/MLOps, and frontend/BFF architecture.
Proven ability to produce executable engineering plans from ambiguous product directions and strong written communication skills.
Work Experience Required: Minimum 8 years at Staff+/Principal-level or equivalent experience.
Operates confidently across backend, frontend, ML platforms, and agent systems showing comfort with complex end-to-end product problems.
Experienced in mentoring and influencing senior engineers without direct authority but through technical leadership.
Skilled at balancing trade-offs in correctness, latency, AI model behavior, reliability, and cost while partnering effectively across Product, Design, Engineering, and GTM teams.