Guardrails to validate your agent's actions before they execute. Backed by Antler.
About the role
We're looking for a founding engineer who is genuinely cracked across three things most people are only good at one of: LLMs and agents, systems, and shipping real software. You'd be one of our first engineers, working directly with me on everything from the core product to deploying Salus inside customer codebases to the research that keeps us ahead.
What they're looking for
- Deep with LLMs and agents, you understand tool calling, context, eval, and where agents actually break in production
- Strong systems engineer, low-latency and correctness-critical code doesn't scare you
- Excellent all-around SWE, you go from a vague problem to a working thing fast
- Comfortable straddling product and research, you want to build the thing and figure out the hard open problems behind it
- You move fast, have taste, and want to be early at something that matters
- Honestly, just be cracked at anything. If you’re really good at anything, please apply
More about this role
Salus is the runtime enforcement layer for AI agents. We sit between an agent and its tools, intercept every action before it executes, and check it against declarative policy, so agents can take real actions in production without doing the wrong thing. We're YC W26, we’re a group of researchers and engineers trying to combine both to get the best results in a productized manner.
We're looking for a founding engineer who is genuinely cracked across three things most people are only good at one of: LLMs and agents, systems, and shipping real software. You'd be one of our first engineers, working directly with me on everything from the core product to deploying Salus inside customer codebases to the research that keeps us ahead.
- Build the core enforcement engine, the thing that intercepts tool calls, evaluates policy deterministically, and returns something the agent can actually recover from
- Go into customer codebases and get Salus deployed against real agent stacks (LangChain, LangGraph, MCP, whatever they're running)
- Work on the research side with us, benchmarks, adversarial evaluation, and the harder problems around agent authorization and provenance that our papers come...
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