Senior AI Product Engineer, Code

About Semgrep

Semgrep is on a mission to make it expensive to exploit software. As the team behind the most popular SAST, we built the Semgrep AppSec Platform to deliver industry-leading code, dependency, and secrets scanning to enable organizations to ship secure code quickly without slowing down development.

With fast, customizable code analysis across large codebases, Semgrep helps teams catch vulnerabilities early and fix them faster. Leading companies like Snowflake, Plaid, Figma, Lyft, and Dropbox rely on Semgrep to secure their software.

Semgrep is funded by top investors, including Felicis Ventures, Lightspeed Venture Partners, Menlo Ventures, Redpoint Ventures, and Sequoia Capital.

About the role

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.

You will:

• 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

You are ideal for this role if you have:

• 5+ 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

Some example projects you might work on include:

• 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

Compensation

Salary Range: $176,000 - $207,000

Our compensation package includes equity and benefits in addition to salary.

Please note that the range listed is for someone based in the San Francisco Bay Area.

What we offer

Our goal is to competitively and fairly compensate every Semgrep employee with a system that equally rewards those who are vocal and those who are less comfortable making demands during the final steps of the hiring process. To that end, we generate internal compensation bands that are used when discussing and negotiating salaries. We update these based on market data to make sure they’re above the average for comparable roles.

We also invest in our employees’ well-being and long term success with comprehensive health plans, generous vacation time, 401k, learning stipends, and more. Our benefits are for everyone, so that you’re taken care of, and we work with individuals to make sure they have what they need, whether that’s quiet work space, adjusted hours, or something else.

Who we are

We have people from France and the Philippines, physics and philosophy, formal methods research and full fledged corporations. We’re new parents and new grads, aspiring authors and aspiring Americans, dog lovers and dogfooders. We get together often to bike, bake, and meet up in parks. In our interactions, we believe respect and honesty go hand in hand, and prioritize both.

Semgrep is an equal-opportunity employer seeking a diverse range of backgrounds. We value who you are — including your cultural heritage, your socioeconomic status, your age, your race, your gender, your sexual orientation, your disabilities. We value what’s vitally important to you — your family, your religion, your politics. We value what you love in this world — your music, your weekend pursuits. We believe in welcoming varied professional backgrounds, educations, and interests. If you’re exceptional in your role, believe in Semgrep’s mission, and treat Semgrep’s values as your own, you belong here.

Please Note: For US-based roles open to remote work, we are currently able to hire employees in the following states only: Arizona, California, Colorado, Connecticut, District of Columbia, Florida, Georgia, Illinois, Maryland, Massachusetts, Michigan, Missouri, Nebraska, New Hampshire, New Jersey, New York, North Carolina, Oregon, Tennessee, Texas, Virginia, and Washington.