Staff AI Product Engineer, Code

Semgrep•San Francisco, CA

1d•$202,000 - $238,000

About The Position

As an AI product engineer on Semgrep’s Code team, you’ll apply cutting-edge AI/ML tools from industry leaders (e.g. OpenAI, Anthropic, Hugging Face, Amazon, Google) to build user-facing security tools that help developers write and ship secure software faster. Semgrep’s Code product improves the software developers create by identifying real vulnerabilities without slowing them down. Other security tools often overwhelm developers with noise, but we deliver actionable, accurate, and intuitive results. AI has already had a profound effect on how we can cut through that noise, and we believe it will unlock even more potential in the future. You’ll learn about the application-security space, mentor other engineers, collaborate with product managers, security researchers, and application developers, and shape features our customers love. Through Semgrep’s culture of transparency, you’ll see and influence the decisions that make a startup successful. Your work will be key to making Semgrep the world’s leading code analysis project and trusted security platform.

Requirements

8+ years of experience writing production software
Curiosity and a love of new technologies, especially AI/ML
Experience experimenting with GPT-4/GPT-5, Codex, Claude, or other LLMs; familiarity with ML algorithms and applied research
Comfort working in a fast-paced environment where prototypes are rapidly iterated or discarded
Strong Python skills (experience with other languages a plus)
Interest in prompt engineering, embeddings, and vector databases
Excitement about building for customers, iterating fast, and seeing solutions solve real developer problems
Excellent and proactive communication skills, both verbal and written

Responsibilities

Integrate AI platform APIs into the Code product
Develop and refine LLM prompt chains for real developer use cases
Experiment with the latest AI/ML advances and determine how they can be productized
Evaluate and fine-tune ML models using human- and machine-generated data
Learn directly from users to understand their needs and deliver features that help them secure their code
Work on major product initiatives end-to-end, from design and prototyping through implementation and deployment
Contribute to technical discussions, roadmap planning, and mentoring within the team
Building new detection capabilities that utilize fast, deterministic static analysis technologies within an autonomous LLM-driven agentic code analysis pipeline
Identifying causes of and solving for non-determinism in model output
Generating real-time, AI-powered remediation guidance for vulnerabilities in developers’ own code
Automatically drafting secure code suggestions that align with project context and frameworks
Building and orchestrating purpose-built custom agents for evaluating and triaging code security risks
Enhancing the IDE experience with AI-assisted security insights and explanations
Experimenting with AI-powered rule generation to help customers expand and tailor their Code product usage