Skip to content

Nobody tells you why you were rejected. We will. Free, in 30 seconds.

Score my CV against live jobs

AI Engineer

Ddome

On-siteMidPosted 27 Sept 2026

What this role requires

One requirement, read out of the advert rather than guessed from the job title:

Also mentioned, not required: AWS, GCP, Docker, Ansible, Terraform, Grafana, Prometheus, Java, Flink, Scala, ElasticSearch, Kafka, HAProxy, Symfony, Angular. Worth having, but their absence is not what gets a CV filtered out.

See how often each of these is required across open data roles in Europe.

Check my CV against this requirement

Free, no card. Tells you which of them your CV evidences and which it only implies.

Job description

DataDome delivers real-time bot and agent trust management, giving businesses complete visibility and control over all traffic—human, bot, or AI. Named a Leader in The Forrester Wave™ for Bot And Agent Trust Management Q2 2026, DataDome is trusted by enterprises like Etsy, PayPal, and Soundcloud. Acting as a traffic control plane, DataDome's multi-layered AI engine leverages thousands of models and 5 trillion signals daily to analyze intent and stop fraud in under 2 milliseconds—letting legitimate users through seamlessly across websites, apps, APIs, and MCPs. Backed by a 24/7 SOC and expert threat researchers, DataDome stops 20k+ attacks every second. With 30+ global PoPs, and 80+ ready-made integrations, DataDome is a recognized Leader on G2 across several categories—delivering protection that outperforms.

⭐ About the team:

Made up of six subteams (Dashboard, Engine, Infrastructure, Integrations, Threat Research & Security), the DataDome tech team is spread across Europe and the US. We handle over 2 000 billion events per day giving responses within 3ms (99p). We are present in more than 29 data centers around the world, deployed using Docker.

We deploy on AWS, Scaleway and GCP, using Docker, Ansible and Terraform, and monitor with Grafana and Prometheus. We handle an average of  8 billion requests per day and manage more than 300 TB of data per month.

When it comes to our stack, we run real-time detection layer in Java, low latency Stream Engine running on Flink in Scala, ElasticSearch for storage, Kafka for communication between layers, HAProxy for load balancing, Symfony & Angular for our dashboards. While previous experience in cyber is not a must, we'll pair you with mentors who will help you bridge the gaps. As #growth is part of our DNA, we’ll give you the resources and support you need to develop mastery.

You will integrate the Threats Research team which is responsible for constantly improving the detection capabilities through client-side technologies.

Read the full description (37 more sections)

Your goal will be to challenge and improve our detection capabilities. You will integrate the Threats Research team which is responsible for constantly improving the detection capabilities through advanced algorithms and data-centric approaches.

Your goal will be to challenge and improve our detection capabilities using generative AI capabilities.

👉 You will be more specifically in charge of things like...

Applying generative AI to detection topics for the Threat Research teams. For example, use a crew of agents to automate traffic analysis and speed up SOC team response to requests.

Injecting generative AI in DataDome products for Threat Research related features like generating a detection summary based on past detection improvement.

Proactively looking for and develop generative AI use cases for fraud detection.

Collaborating with other tech teams to deliver AI powered features.

Building Gen AI stack at DataDome in the Cloud (AWS or GCP)

👤 It would be great if you have:

First experience in applied AI Engineering

At least 2 years of experience programming in Python

Strong computer science background

Good LLM / AI Engineering theoretical knowledge

A "hacker" spirit

Good communication skills (oral and written)

Nice to have

GCP VertexAI of AWS Bedrock knowledge

Multi agent framework (i.e. CreawAI) experience

Pytorch experience

What’s in it for you?

Flex Life: While we offer remote options our Parisian office is located next to the Opera Garnier. You will also receive a 500€ stipend to help you set up your ideal workspace.

If you are full remote, the SNCF dicount card is paid for you to come to our office to visit us & your team monthly!

Generous Health Benefits: We have partnered with Kenko for your healthcare needs.

A 100€ annual allowance is provided for a leisure activity of your choice in Sports or Culture.

Annual allowance of €200 if you come to the office by bike to cover maintenance costs.

Professional Development : #Weaimhigh is part of our DNA, therefore we have invested in an internal Learning and Development platform and offer the opportunity to request additional training and support via your manager.

Events & Team building: #We care and we have fun! We organise Annual Company-Offsite, Events, Drinks, Winter Party, Lunch & Learns and much more are part of our Culture

PTO: Based on the country you are based from (e.g. 25 days in France).

What are the next steps?

You x Talent Acquisition Manager : first interview and cultural fit

You x Engineering Manager : technical and cultural fit + Take-home technical challenge

You x Team: Presentation and review of your "technical proposal" with the team

You x Member of the leadership team - Discussion about DataDome vision and "raison d'être"!

Now you really met everyone! Welcome to DataDome :)

DataDome is an equal opportunity employer, and proud to be committed to diversity and inclusion. We will consider all qualified applicants without regard to race, color, nationality, gender, gender identity or expression, sexual orientation, religion, disability or age.

 

Find Jobs in France on Arbeitnow

You will apply. Then you will hear nothing.

And no one will tell you what was wrong. See it before you send: your ATS score, every weak line, and the fix for each.

  1. 1

    Drop in your CV

    One PDF, thirty seconds. No card.

  2. 2

    See what is wrong with it

    Every weak passage, quoted from your own CV, with the line to replace it.

  3. 3

    Apply where you fit

    Every European role ranked against what your CV actually says.

  • Free, no card
  • Your CV file is deleted after parsing
  • Or skip the upload — build your profile by hand
  • Refreshed every 6 hours