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We are looking for a Core Runtime engineer to own the agent harness that turns our LLMs into reliable, autonomous software. The harness is the run loop, orchestrator, and monitor that keep an agent working safely across thousands of tool calls and hours of wall-clock time. You will work at the intersection of systems engineering and applied AI, building the substrate that every SuperNinja agent runs on.
We are looking for a Core Runtime engineer to own the agent harness that turns our LLMs into reliable, autonomous software. The harness is the run loop, orchestrator, and monitor that keep an agent working safely across thousands of tool calls and hours of wall-clock time. You will work at the intersection of systems engineering and applied AI, building the substrate that every SuperNinja agent runs on.
Design and evolve the agent run loop: context management, turn compaction, and recovery from failed or partial tool calls
Build the orchestrator that launches, supervises, and hands off long-running background agents without losing state
Implement the monitoring layer that detects stuck, looping, or runaway agents and intervenes safely
Own the provider abstraction across model backends (Claude, Codex, and others) so the harness stays model-agnostic
Make the harness observable end to end with structured telemetry, so failures are debuggable in production
Keep the loop fast and cheap at scale while it powers millions of daily user interactions
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You will report to the engineering lead for agent infrastructure and will have ownership in these areas:
Research, design, and build the core run loop and orchestration that power autonomous agents
Define how agents manage context, recover from errors, and hand off work cleanly
Build rapid prototypes and proof of concepts to turn harness ideas into shipped product capabilities
Stay up-to-date with agent architectures from research and industry, and fold the best ideas into our runtime
Design self-healing mechanisms so agents degrade gracefully instead of failing hard
Collaborate with cross-functional teams including applied science, product, and integrations
You have built an agent framework, workflow engine, or long-running job system before
You care about reliability the way SREs do, and you instrument everything
You can reason about non-determinism in LLM outputs and design around it
Experience with sandboxing, containerization, or secure code execution
You move fast on prototypes but know when to harden them for scale
This is a chance to build the foundation that every one of our agents runs on. The harness is where autonomy is won or lost, and you will own it end to end alongside a team that values engineering rigor and scientific curiosity.
Privately held AI software company providing autonomous agents that execute complex work for businesses and individuals.
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Senior · 4+ years experience
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