AI Software Engineer

Core Languages: Python, SQL

AI: Dust, LangChain, LangGraph, LangSmith

Automation: n8n

Data Warehouse: Snowflake

Orchestration & Deployment: Dagster, Kubernetes, Docker, Terraform

Data Ingestion: Fivetran, Airbyte, custom scripts

Data Sources: PostgreSQL, Elasticsearch, various APIs (Hubspot, Notion, etc.)

If you think you match at least 70% of these criteria, please apply!

Here's what we consider essential for success in this role:

You have 5+ years of experience in software engineering and a proven track record of shipping production systems.

You have hands-on experience building LLM-powered features in production, with a clear understanding of the trade-offs (quality, cost, latency, safety) and how they connect to product and business needs.

You know how to systematically improve LLM systems: versioned prompts, offline/online evaluations, data analysis, and iteration based on real-world signals.

You can industrialize LLM systems at scale (caching, batching, model routing, observability, rate limiting, ML CI/CD pipelines).

You are strong in Python and comfortable working with REST APIs and making pragmatic architectural decisions.

You operate as a senior engineer: debugging complex systems, refactoring with intent, reviewing code thoughtfully, and thinking ahead about scalability.

You take ownership: you identify gaps, propose solutions, and go beyond your immediate scope.

You connect technical decisions to product and business outcomes.

You regularly use AI tools in your daily workflow.

You communicate clearly and collaborate effectively, especially with ML teams.

You are fluent in English (written and spoken) and comfortable working in an international environment.

The following skills would strengthen your application but aren't required:

Basic knowledge of Kubernetes and Terraform to independently deploy and operate services.

French is a plus for day-to-day collaboration in our Paris office.

Video call with a Talent Acquisition team member

To discover your professional project and evaluate if there could be a mutual match.

Team interview / Interview with your future manager

To know more about yourself and your achievements, and present to you the team.

Technical interview

To evaluate your skills for the position and project yourself into the role.

4.1 Final interview with an Executive Manager

To detail our company’s vision and ambitions for the next couple of years.

4.2 References check

You can start thinking about two contacts who can attest to your previous or current professional experiences. These contacts should be as recent as possible, and we will call them at the end of the process.

Products

Understand how GitGuardian works in this short video!

Want to go even further? Check out our public roadmap!

Check out the State of Secrets Sprawl Report to understand our mission and the industry.

Our solutions are already used by hundreds of thousands of developers in all industries and GitGuardian platform is the n°1 app on the GitHub marketplace 🔥

Clients

GitGuardian helps organizations find exposed sensitive information that could often lead to tens of millions of dollars in potential damage.

More than 70% of our customers are in the United States.

Many F500 companies use GitGuardian's platform.

People

The Guardians are knowledgeable, committed, serious, aligned with the company’s mission, and true team players: always willing to help each other grow our skill sets!

The team is diverse and we hail from more than 20 different countries.

We are also agile, remote-friendly, and fun people to work with.

You will get trust & autonomy on your perimeter with a very transparent internal communication and a strong impact on the company development.