Senior / Staff Software Engineer, AI
Pubblicato il 02-09-2026 - Kindo in Venezia
About Kindo
Kindo is an agent automation platform for DevOps and SecOps teams. We help organizations automate high-friction operational work using autonomous agents that run reliably, securely, and at scale. Our platform supports deployment on-prem, in hybrid environments, or in the cloud, with enterprise-grade security controls from day one.
We’re a small, highly technical team with strong customer traction and real enterprise revenue. Engineers have direct ownership over critical systems and shape how the platform evolves.
The Role
You will design, build, and operate core systems that enable autonomous agents to function reliably in production. This is software engineering with AI at the center, not ML research and not chatbot wrappers. You’ll build production-grade agentic workflows, retrieval and memory systems, multi-model execution, and tool-calling integrations that interact safely with enterprise systems.
This is also frontier work. Many of the patterns for agentic systems are still emerging. You’ll explore new approaches, prototype quickly,
and turn what works into durable production systems. At the same time, strong distributed systems fundamentals still apply. These systems must be reliable, secure, observable, debuggable, and maintainable under real-world conditions.
You will help decide what to build, not just how to build it. We expect engineers to build an understanding our users, question requirements, and propose better solutions rather than simply implementing a spec.
We're hiring at both the Senior and Staff levels. Senior engineers take systems end-to-end with high ownership; Staff engineers additionally shape architectural direction, define the platform’s durable defaults, and identify the highest-leverage abstractions and guardrails. We’ll calibrate level, scope, and compensation to your experience and performance during the interview process.
What You’ll Build
- Agent execution systems, including autonomous task loops, scheduling, triggers,