Define and evolve the architectural foundations of Kindo’s agent platform
Work on agent execution frameworks, memory architectures, multi-model execution, secure tool-calling integrations, and platform primitives
Identify highest-leverage architectural opportunities, failure modes, guardrails, and abstractions for safe scaling
Help determine what the future of agentic systems should look like while ensuring reliability, security, observability, debuggability, and maintainability under real-world conditions

Deep expertise designing and operating complex backend or distributed systems in production
Built and evolved platform-level architectures that remained durable under rapid change
Built LLM-powered or AI-native systems beyond demos, with real users, constraints, and failure modes
Exceptional architectural judgment around reliability, security, observability, and long-term system evolution
Invented or introduced foundational abstractions, workflows, or architectural approaches that materially improved system capability or engineering effectiveness
Actively track emerging tools, models, and approaches and translate the best of them into production systems
Use AI as a core part of your engineering workflow, not as an occasional convenience
Operate with exceptional ownership and take systems end-to-end, including long-term evolution.

Principal AI Systems Engineer – Agentic Platforms

Key skills