Senior AI Engineer_FLAMED

Навыки

• Коммуникация
• Computer Vision
• MLOps
• Мониторинг и observability

О компании и продукте

• Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play.
• Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U.S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Scopely Explore games businesses — Scopely consistently delivers experiences players love today and return to for years to come.
• Scopely is looking for a talented Senior AI Engineer to join Forge , our Creative Technology & AI team within Flamed, in our Barcelona office on a hybrid basis.

Задачи

• Forge is shaping the future of creative production
• We combine AI, engineering, automation, and creative technology to build the platforms, products, and workflows that empower every creative team to move faster, experiment more, and scale creativity across Scopely
• As a Senior AI Engineer , you'll play a key role in building those capabilities
• You'll own the end-to-end delivery of AI-powered products and services, working closely with engineers, creative technologists, designers, producers, and artists to turn ambitious ideas into production-ready solutions that have a measurable impact across multiple game teams
• Own AI products and services throughout their full lifecycle, from discovery and implementation to deployment, monitoring and continuous improvement
• Build production-ready AI applications leveraging LLMs, agents, automation frameworks and modern cloud technologies
• Prototype rapidly to validate ideas with users, then evolve successful experiments into scalable, maintainable solutions
• Partner closely with Creative, Production and Engineering teams to understand workflows and translate them into practical AI solutions
• Drive technical decisions within the team's architecture and engineering standards
• Participate in design reviews, helping shape technical decisions through thoughtful proposals and engineering trade-offs
• Ensure solutions are reliable, observable, secure and maintainable by following best practices around testing, versioning, permissions and monitoring
• Contribute to a collaborative engineering culture by sharing knowledge, improving standards and helping evolve the team's technical practices

Требования

• 7+ years of software engineering experience delivering production systems
• Strong hands-on engineering skills with experience shipping products end-to-end
• Experience building AI-powered applications using LLMs, AI agents, orchestration frameworks or automation platforms
• Strong understanding of software architecture, APIs, cloud services and modern development practices
• Comfortable moving quickly through ambiguity while maintaining a high engineering bar
• Excellent communication skills with the ability to collaborate effectively across technical and non-technical teams
• Pragmatic mindset focused on solving real user problems and delivering business impact
• Passion for applying AI to improve workflows, creativity and operational efficiency

Будет плюсом

• Experience building internal platforms or developer tools
• Experience working with multimodal AI, computer vision or generative media technologies
• Familiarity with MLOps, evaluation pipelines and AI observability
• Experience supporting creative production, gaming, content pipelines or digital asset workflows

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