Hybrid Staff AI Systems Engineer – Agentic Platforms

Posted 5 days ago

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About the role

  • Staff AI Systems Engineer defining and building systems for autonomous agents at Kindo, an agent automation platform for DevOps and SecOps teams.

Responsibilities

  • You will define, build, and evolve foundational systems that enable autonomous agents to operate reliably in production.
  • This is applied systems engineering with AI at the center, not ML research and not chatbot wrappers.
  • You’ll work on agent execution frameworks, retrieval and memory systems, multi-model execution, and secure tool-calling integrations that interact with real enterprise environments.
  • This role also requires invention. Many of the patterns for agentic systems are still emerging. You’ll explore new approaches, prototype quickly, and turn what works into durable platform foundations.
  • You’ll identify high-leverage architectural improvements, abstractions, and guardrails that expand what the platform can do while keeping it reliable, secure, observable, and maintainable under real-world conditions.
  • Staff engineers at Kindo are builders and inventors with strong architectural judgment. You help define both what we build next and which approaches become the system’s durable defaults.

Requirements

  • Have deep experience building and operating complex backend or distributed systems in production
  • Have built LLM-powered or AI-native systems beyond demos, with real users, real constraints, and real failure modes
  • Have strong architectural judgment around reliability, security, observability, and system evolution
  • Have invented or introduced abstractions, workflows, or architectural approaches that materially improved system capability or engineering effectiveness
  • Are comfortable operating in ambiguous frontier areas and validating ideas through rapid iteration
  • Use AI as a core part of your development workflow, not as an occasional convenience
  • Operate with high ownership and take systems end-to-end, including long-term evolution.
  • TypeScript required, Python strongly preferred
  • Strong SQL proficiency
  • Experience with production infrastructure; Docker/Kubernetes experience is a plus
  • Familiarity with enterprise security patterns is a plus
  • Domain familiarity with DevOps, SecOps, or infrastructure automation is a plus.

Benefits

  • Competitive equity

Job title

Staff AI Systems Engineer – Agentic Platforms

Job type

Experience level

Lead

Salary

$210,000 - $260,000 per year

Degree requirement

Bachelor's Degree

Location requirements

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