DDG Support Systems Engineer managing system support requirements for defence projects. Collaborating with various stakeholders to enhance combat system capabilities.
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
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