Define architecture-first principles for AI and agentic systems.
Review designs and recommend models, patterns, and frameworks.
Translate latency, reliability, scalability, observability, and cost into concrete designs.
Serve as final escalation point for complex AI decisions.
Architect the agent ecosystem with shared patterns and orchestration.
Drive standardization of evaluation and lifecycle management.

🎯 Requirements

12+ years of software engineering experience.
3+ years designing and deploying AI/ML systems in production.
Deep expertise in LLMs, agentic systems, distributed systems, scalable inference.
Strong experience with cloud infrastructure and containerization.
Excellent communication and technical leadership skills.
Bachelor’s degree in engineering (CS / IT) or equivalent.

🎁 Benefits

Paternity/maternity leave
Healthcare insurance
Broadband reimbursement
Hybrid schedule: 3 days in office, 2 remote
Catered lunches and healthy snacks

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