Job Description
Agentic AI Engineer We’re partnering with an early-stage team rethinking how software is secured in an AI-driven world. They’re building systems that can reason about that code, find real vulnerabilities, and continuously improve security in production environments. You’ll be joining early, working directly on core systems, and shaping how agentic AI is applied to real-world security problems. Build and ship production AI systems that understand and reason about code, behavior, and risk Develop evaluation frameworks to measure correctness, reliability, and system performance over time Work across the stack, contributing to backend systems, infrastructure, and model orchestration Partner closely with engineering and product to integrate AI systems into core user workflows 5+ years of software engineering experience building and shipping real systems ~ Proven experience working with AI systems in production, not just prototypes or demos ~ Strong backend engineering skills (Python, TypeScript, Go, Rust, or similar) ~ Experience building or working with agentic systems (tool use, planning, memory, execution loops) ~ Have experience building systems that work with code (analysis, generation, transformation, or tooling) Hands-on work with LLM orchestration, evaluation pipelines, or system reliability History of building fast, iterating quickly, and shipping consistently Meaningful equity