Senior AI Engineer (All Genders)

Company Description

Dailymotion is more than a video app, it's a visual conversation in motion, based on a unique algorithm designed to broaden users' horizons. Dailymotion brings nuance to the debates that animate young people and puts listening, discovery, and kindness back at the heart of interactions to help build a better and safer Internet.

Dailymotion is also "Dailymotion Pro", a video hosting and broadcasting solution for professionals in all sectors; and "Dailymotion Advertising", a powerful, proprietary video advertising platform, offering a high-quality, secure environment for brands.

Our team is made up of 400 people in France, New York, and Singapore, all united by the same ambition: to visibly shake up the global video platform ecosystem.

What brings us together?

At Dailymotion, our team of talented individuals from over 40 nationalities embraces four core values every day:

• Opening perspectives - We are building bridges between different sides of the spectrum. We believe in freedom of speech, inclusivity, and a mix of cultures.

• Building a safer world - Empathy is the key to understanding alterity. Caring for each other is our driver to creating a safe community.

• Making bold moves - We are ambitious challengers. We are making against-the-flow choices to make visible changes in the platform's ecosystem

• Creating meaning - We spark joy and curiosity, we feel good about what we do and we want everyone else to feel the same fulfillment

Job Description

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. 

Qualifications

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.,