Develops AI-powered solutions using LLMs to improve code security vulnerability detection, prioritization, and remediation. Collaborates with customers, implements end-to-end features, and evaluates models through experimentation on real-world data.
163k – 247k/yr
HybridML Engineering
About the role
Responsibilities
Apply LLM technologies throughout the stack to enhance Semgrep’s security vulnerability detection, prioritization, and remediation capabilities.
Work directly with customers to understand their pain points.
Own the end-to-end implementation of AI-powered solutions.
Rigorously evaluate the efficacy of different prompts and models through experimentation with real-world data.
Prototype and ship quickly, working on a little bit of everything throughout the stack.
Requirements
Comfortable working with significant ambiguity.
Professional experience with LLMs including GPT-4/GPT-5, Codex, and Claude (preferred but not required; open to learning quickly).
Experience with Typescript and React (Frontend), Python, Flask, SQLAlchemy (Backend), Kubernetes, AWS (preferred but not required).
Compensation
Estimated starting annual salary range: $163,000 to $246,500 USD.
Total compensation may include equity, variable compensation, and benefits.
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