{"id":94289,"url":"https://alion.io/job/datadome-ai-engineer-2","title":"AI Engineer","company":{"id":4521169,"name":"Dome Group","domain":"dome-group.com","url":"https://alion.io/company/dome-group","size_band":"201-500","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":{"grade":"A","score":93,"open_postings":10,"ghost_share":0,"stale_share":0.1,"repost_share":0,"time_to_fill_p50_days":106,"computed_at":"2026-11-07T05:47:08Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":"junior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"board_field","remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["France"],"countries":["FR"],"hiring_countries":["FR"],"hiring_countries_total":1,"salary":null,"salary_estimate":null,"experience_years_min":2,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"GCP","optional":false},{"name":"LLM","optional":false},{"name":"Python","optional":false},{"name":"Angular","optional":true},{"name":"Ansible","optional":true},{"name":"Apache Kafka","optional":true},{"name":"AWS Bedrock","optional":true},{"name":"Docker","optional":true},{"name":"ElasticSearch","optional":true},{"name":"Flink","optional":true},{"name":"Grafana","optional":true},{"name":"HAProxy","optional":true},{"name":"Java","optional":true},{"name":"JavaScript","optional":true},{"name":"Multi-Agent Systems","optional":true},{"name":"Prometheus","optional":true},{"name":"PyTorch","optional":true},{"name":"Scala","optional":true},{"name":"Scaleway","optional":true},{"name":"Terraform","optional":true},{"name":"TypeScript","optional":true},{"name":"Vertex AI","optional":true}],"status":"live","first_seen_at":"2026-07-28T11:12:42Z","employer_posted_date":"2026-10-05","last_verified_at":"2026-11-07T15:09:52Z","board_verified":true,"closed_at":null,"days_open":102,"trust":{"level":"ok","repost_count":1,"flags":[],"days_open":101},"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.\n⭐ About the team:\nMade 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.\nWe 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.\nWhen 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.\nYou will integrate the Threats Research team which is responsible for constantly improving the detection capabilities through client-side technologies.\nYour 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.\nYour goal will be to challenge and improve our detection capabilities using generative AI capabilities.\nYou will be more specifically in charge of things like...\nApplying 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.\nInjecting generative AI in DataDome products for Threat Research related features like generating a detection summary based on past detection improvement.\nProactively looking for and develop generative AI use cases for fraud detection.\nCollaborating with other tech teams to deliver AI powered features.\nBuilding Gen AI stack at DataDome in the Cloud (AWS or GCP)\nIt would be great if you have:\nFirst experience in applied AI Engineering\nAt least 2 years of experience programming in Python\nStrong computer science background\nGood LLM / AI Engineering theoretical knowledge\nA \"hacker\" spirit\nGood communication skills (oral and written)\nNice to have\nGCP VertexAI of AWS Bedrock knowledge\nMulti agent framework (i.e. CreawAI) experience\nPytorch experience\nWhat’s in it for you?\nFlex 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!\n\nGenerous Health Benefits: We have partnered with Kenko for your healthcare needs.\nA 100€ annual allowance is provided for a leisure activity of your choice in Sports or Culture.\nAnnual allowance of €200 if you come to the office by bike to cover maintenance costs.\nProfessional 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.\nEvents & 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\n PTO: Based on the country you are based from (e.g. 25 days in France).\nWhat are the next steps?\nYou x Talent Acquisition Manager : first interview and cultural fit\nYou x Engineering Manager : technical and cultural fit + Take-home technical challenge\nYou x Team: Presentation and review of your \"technical proposal\" with the team\nYou x Member of the leadership team - Discussion about DataDome vision and \"raison d'être\"!\nNow you really met everyone! Welcome to DataDome :)\nDataDome is an equal opportunity employer, and proud to be committed to diversity and inclusion. 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