At Dailymotion, we're building the next generation of AI-powered products—from an intelligent, agentic advertising platform to automated creative optimization and beyond. We are looking for a Senior AI Engineer to lead the design and delivery of production-grade AI capabilities that drive measurable impact across our products and business. You'll work at the intersection of LLM application engineering, scalable backend services, and product execution, collaborating closely with Product, Data, and Engineering teams. We offer challenging work with direct business impact, opportunities for growth, and a collaborative culture that encourages every team member to bring their unique perspective to the table.

Responsibilities 

• Lead the design, development, and evolution of AI-powered features and platform capabilities from concept to production. 
• Design, ship, and operate production-grade agentic systems to tackle complex video platform challenges. 
• Architect and maintain APIs, data contracts, and shared libraries to ensure AI capabilities are reusable across teams. 
• Define and track critical metrics: task success rate, helpfulness, hallucination proxies, safety flags, latency, and cost. 
• Own end-to-end quality: offline evaluation, online experiments, monitoring, and iterative improvements on accuracy and performance. 
• Establish and enforce best practices for AI engineering: prompt/config versioning, reproducibility, testing strategies, and safe handling of sensitive data. 
• Mentor mid-level and junior engineers through code reviews, design discussions, and knowledge sharing. 
• Collaborate with Product, Data, Security, and ML stakeholders to define outcomes and ensure safe deployment. 

Dailymotion is proud to be an equal employment opportunity and affirmative action employer. We value inclusion and we want you to help us thrive for a more diverse community.

All our job offers are open to people with disabilities or impairments, and we actively encourage everyone to apply. If you have any accessibility needs or require any accommodations for the hiring process, please let us know in advance so that we can make any necessary arrangements.

• Location: Paris

• Start Date: Asap

• Contract Type: Permanent

🔍Want to learn more about us:

• Dailymotion.com

• New-York office - BuiltIn

• Offices in France - Welcome to the Jungle

• Our articles  

For the France offices :

🏡Hybrid Work Framework, depending especially on the needs of your position, ability to work 3 months abroad

💰 Saving Plan Canal +

🍼  Paternity leave or Coparental leave extended 

🕶️  Living Employee Culture (Events/Trainings/Parties/All hands,…) 

🚀  Career development support (training/internal mobility/compensation cycle/360 feedback review …)

🏥  High-end Health Insurance and Personal Services Vouchers (CESU)

⛱️  Paid Time off – RTT and Saving time plan (CET)

✅  Meal Vouchers – Public Transport and Bike refund 

🎡 European Economic and Social Committee (sport membership/cinemas vouchers/gift vouchers/discount) 

⚽Fitness Subscription thanks to our partnership with Gymlib

Required Skills 

• 5+ years of software engineering experience (or 3+ years with a strong specialization in AI/ML production), ideally as an ML Engineer transitioning toward product or a Software Engineer with deep AI experience. 

• Proficiency in at least one mainstream programming language (Golang or Python preferred). 

• Solid understanding of LLM application engineering: embeddings, RAG, prompt design, structured outputs, evaluation frameworks, and common failure modes. 

• Experience integrating model platforms (preferably Vertex AI) with production reliability patterns (timeouts, retries, fallbacks, rate limiting). 

• Strong engineering fundamentals: system design, testing (unit/integration), CI/CD, observability, and clean architecture. 

• Ability to independently drive solutions from ambiguous requirements to production delivery. 

Preferred Skills 

• Experience with retrieval systems (indexing, ranking, relevance tuning) and building ingestion pipelines for knowledge bases. 

• Familiarity with AI safety and compliance (moderation, PII detection, policy enforcement, auditability). 

• Experience optimizing distributed systems for performance and cost (caching, batching, concurrency). 

• Proficiency in using AI-assisted development tools (e.g., GitHub Copilot, Cursor) to accelerate delivery without compromising quality.