AI Engineer

Responsibilities

• ▹Builds and iterates on LLM features, including agentic workflows, using LangGraph and LangSmith
• ▹Scales the platform foundations behind these features — orchestration, performance, and reliability
• ▹Partners closely with the team's ML Engineer on the design, evaluation, and productionization of AI systems

Requirements

• ▹Technical environment: Python, SQL, Dust, LangChain, LangGraph, LangSmith, n8n, Snowflake, Dagster, Kubernetes, Docker, Terraform, Fivetran, Airbyte, PostgreSQL, Elasticsearch

What we offer

• ▹High ownership of the AI at the heart of GitGuardian's core product; the Incidents Squad owns the full lifecycle of a secret leak, with AI embedded at every step
• ▹Work at the intersection of product and ML, collaborating directly with a dedicated ML Engineer
• ▹Work at the frontier of applied AI, improving the reliability, latency, and robustness of increasingly core LLM-based features
• ▹High ownership, senior scope with real influence on architecture and product direction

About the company

GitGuardian is a global cybersecurity scale-up headquartered in Paris, with additional offices in New York City and Boston. Early investors include GitHub co-founder Scott Chacon and Docker co-founder Solomon Hykes, and the company raised a Series C round from leading US and European VC firms in early 2026. The GitGuardian platform is used by more than 600,000 developers worldwide and by 50 of the Fortune 500.