Senior AI Systems Engineer – Agentic Platforms

Role Overview

• Design, build, and operate core systems that enable autonomous agents to function reliably in production
• Build production-grade agentic workflows, retrieval and memory systems, multi-model execution, and tool-calling integrations that interact safely with enterprise systems
• Explore new approaches, prototype quickly, and turn what works into durable production systems
• Ensure systems must be reliable, secure, observable, debuggable, and maintainable under real-world conditions

Requirements

• Have built and operated complex backend or distributed systems in production
• Have built LLM-powered or AI-native systems beyond demos, with real users and real constraints
• Have strong judgment around reliability, security, observability, and failure modes
• 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 autonomy and take systems end-to-end
• 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

Tech Stack

• Distributed Systems
• Docker
• Kubernetes
• Python
• SQL
• TypeScript