Senior AI Engineer (Generative AI, Gaming)

TL;DR

Senior AI Engineer (Generative AI, Gaming): Leading the implementation of generative models and semantic search systems within real-time game infrastructure with an accent on dynamic asset generation, intelligent caching, and secure content verification. Focus on architecting production-grade inference pipelines for 2D/3D assets and integrating AI models into core backend infrastructure.

Location: Hybrid in Copenhagen. Remote work supported if the timezone is plus/minus 1-2 hours from Copenhagen.

Company

hirify.global is an innovation team focused on transforming cutting-edge AI research into practical solutions for creating unique user and customer experiences, especially in gaming.

What you will do

• Design and deploy scalable inference pipelines for image, audio, and 3D asset generation (using models like Stable Diffusion, various LLMs, or custom fine-tunes).
• Implement and optimize vector search systems (CLIP/Embeddings) to enable semantic asset retrieval and intelligent caching.
• Optimize model performance for latency and cost, utilizing techniques such as quantization, model distillation, and runtime accelerators (e.g., ONNX, TensorRT).
• Develop systems for digital watermarking, fingerprinting, and anomaly detection to support rights management and telemetry services.
• Integrate AI models into robust, versioned APIs that integrate seamlessly with core .NET backend infrastructure.

Requirements

• 4+ years of experience deploying Machine Learning models in production environments.
• Deep familiarity with the modern GenAI stack (Hugging Face, Diffusers, LMs) and experience fine-tuning or adapting these models for specific tasks.
• Hands-on experience with embedding models and Vector Databases (Pinecone, Milvus, Weaviate).
• Strong proficiency in Python and containerization (Docker/Kubernetes) for writing clean, maintainable code.
• A strong understanding of GPU resource management and inference latency optimization.

Nice to have

• Experience with C#/.NET or integrating Python services into a Microsoft stack.
• Knowledge of Digital Rights Management (DRM), steganography, or content watermarking techniques.
• Background in procedural content generation (PCG) for games.
• Experience optimizing and deploying generative models for edge/on-device inference (mobile, desktop, or console).

Culture & Benefits

• Competitive salaries and supplemental pension contributions.
• 30 days of annual vacation.
• Flexible work hours and great focus on work/life balance.
• Low hierarchy, where respectful feedback is welcome.
• Work with a bleeding edge tech stack and skilled co-workers who are driven by a passion for creating beautiful games and cool tech.
• Commitment to a discrimination-free workplace, embracing diversity of experience, perspectives, and background.