AI Engineer

Ddomemid

En corto

→Ingeniero de IA enfocado en aplicar IA generativa para mejorar detección de fraudes en tiempo real.
→Trabajas día a día con generative AI, agentes autónomos y modelos de detección en un entorno de tráfico masivo (8B peticiones/día).
→Destacado: Estás en el núcleo de una infraestructura global que detiene 20k+ ataques por segundo usando IA.

Good communication skills in English

En ~1 minuto te damos: quién te entrevista, las preguntas probables con respuestas desde tu CV, y tu CV adaptado a esta vacante. Gratis, sin tarjeta.

🎧¿Llegás a la entrevista? Llevá el copiloto. Nuestra extensión escucha la entrevista en vivo y te muestra anclas de 3-4 palabras desde tu CV y tu preparación — mirás, conectás, hablás. Gratis. Ver la extensión →

¿Qué piden?

✓Experiencia aplicada en ingeniería de IA
✓2 años mínimos usando Python
✓Fuerte base en ciencias de la computación
✓Conocimiento teórico sólido en LLMs e ingeniería de IA
✓Espíritu de 'hacker' y curiosidad técnica
✓Buenas habilidades de comunicación oral y escrita

¿No cumplís todo? Es lo normal — tu dossier gratis te dice qué gaps tenés y cómo cubrirlos en la entrevista.

PythonJavaScalaFlinkElasticSearchKafkaHAProxyDockerAWSGCP

¿A quién escribirle en Ddome?

Tu dossier gratis identifica a las personas que te entrevistarían — con su background, qué valoran y cómo escribirles para destacar antes de aplicar.

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. 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 s

¿Buscando algo parecido?

Dejá tu email y te avisamos cuando salgan vacantes que coincidan con tu perfil.

No apliques sin prepararte

Investigamos quién te entrevista, adaptamos tu CV y te ensayamos en vivo — gratis la primera.