Senior AI Systems Engineer – Agent Execution & Orchestration

Senior AI Systems Engineer – Agentic Platforms $170k–$220k + Equity

A fast-growing, venture-backed AI company is hiring engineers to build systems where AI doesn’t just generate outputs, but executes real workflows across infrastructure
.

The team is building autonomous agents that operate in production environments, interacting with real systems, permissions, and failure modes, not just APIs or demos.

• Build and operate agent execution systems (task loops, scheduling, control planes)
• Design retrieval and memory architectures for long-term, structured context
• Build tool-calling frameworks that safely interact with external and enterprise systems
• Design systems for observability, failure handling, and recovery in production AI systems
• Work on distributed, production-grade infrastructure powering agent workflows

• Strong backend or distributed systems experience (
  Type Script required, Python preferred
  )
• Experience building LLM-powered systems in production
  , not prototypes
• Experience with agentic systems, orchestration, or workflow automation
• Strong understanding of reliability, observability, and failure modes in production systems
• Experience with Docker/Kubernetes or production infrastructure
• Bonus: experience in Dev Ops, Sec Ops, or infrastructure automation

This is an opportunity to join a small, highly technical team building agent infrastructure at the edge of what’s possible
, where the focus is on real systems, real constraints, and real production impact.