AI Software Engineer Ajouter aux favoris

About GitGuardian

GitGuardian is a global cybersecurity scale-up. The company is based in Paris, New-York City, Boston.

Among our early investors who saw our market value proposition, are the co-founder of GitHub, Scott Chacon, along with Solomon Hykes, Docker's co-founder. American and European top-tier VC firms have also invested in GitGuardian who raised its series C early 2026.

GitGuardian helps enterprises close credential-based breach paths. It finds secrets wherever they live, prioritizes remediation based on rich context, and prevents new exposure across code, systems, and AI. The GitGuardian platform is already used by more than 600K developers worldwide and by 50 of the fortune 500!

About your team and your mission

You'll join the Incidents Squad, the team responsible for the full lifecycle of a GitGuardian incident, from detection to remediation. AI models are involved at every stage, and the team both implements and maintains them.

As a Senior Software Engineer focused on AI/LLM features, you'll be brought in to improve, scale, and stabilize these capabilities as they transition from early-stage features to core product workflows. In your first six months, you'll get fully acquainted with the existing LLM features, bring your expertise to improve their reliability and stability (quality, latency, robustness, observability), and start suggesting and driving product improvements in close collaboration with the team.

On a day-to-day basis, you will:

• Build and iterate on LLM features, including agentic workflows, using LangGraph and LangSmith.
• Scale the platform foundations behind these features - orchestration, performance, and reliability.
• Partner closely with the team's ML Engineer on design, evaluation, and productionization of AI systems.

Why this role

• Own the AI at the heart of GitGuardian's core product. The Incidents Squad owns the full lifecycle of a secret leak - creation, prioritization, remediation - and AI is embedded at every step. You'll be the engineer making it work reliably at scale.
• Work at the intersection of product and ML. You'll collaborate directly with a dedicated ML Engineer on design, evaluation, and productionization, bridging the gap between research and production.
• Be at the frontier of applied AI. As GitGuardian ships more and more LLM-based features, you'll be the person improving their reliability, latency, and robustness as they become core product workflows.
• High ownership, senior scope. This is a senior role with real influence on architecture and product direction.

Technical Environment

• 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.)

About you

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.

The interview process

1. Video call with a Talent Acquisition team member

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

2. Team interview / Interview with your future manager

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

3. 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.

Benefits

• Package that includes BSPCE
• Lunch voucher (Swile, 9€ at 50%)
• Sponsored Wellpass (gymlib)
• Non-charged health insurance for children (Sidecare / Generali)
• Up to €300 to improve your home office set-up
• Yearly holiday allowance
• Referral bonus of 4000€ for any new Guardian we might hire thanks to you
• Team building: monthly budget dedicated to each employee that you can spend as you wish, with colleagues (latest examples to date: Michelin star restaurant, karaoke, stand-up show, kitesurfing week-end, ...)

And also...

• Remote policy: hybrid (3 days/week at the office in Paris)
• Opportunities for career development in the long term

More about GitGuardian!

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.

Team Engineering Role Machine Learning Locations Paris Remote status Hybrid Employment type Full-time