Role overview
Raw Power Labs is a sister company to Raw Power Games. Our mission is to bring the power of AI into the hands of creators and organizations, enabling them to craft unique and impactful user and customer experiences across industries.
We aim to transform cutting-edge AI research into practical solutions that help create meaningful, immersive, and scalable experiences. We believe this can be achieved by offering the best possible work culture to our employees where we can dream big and run experiments. We recognize that experimentation and embracing new and different approaches require taking risks and sometimes result in failures, but that is also how we learn and grow!
Currently, we are an innovation team of 22 and growing. We share their values of trust, transparency and empathy and strive to be the best workplace in the industry. Besides an adventure, here is what we’re offering:
- Competitive salaries.
- Supplemental pension contributions.
- 30 days of annual vacation.
- Flexible work hours, remote when you need to.
- Low hierarchy, your respectful feedback is welcome.
- Great focus on work/life balance.
- Bleeding edge tech stack.
- Skilled co-workers who are driven by a passion for creating beautiful games and cool tech.
So if you are kind-hearted, curious in nature and passionate about AI read on, and consider joining our journey to build an amazing company.
The Role
We are looking for an experienced AI Engineer to lead the implementation of generative models and semantic search systems within our real-time game infrastructure. You will be responsible for the "intelligence" layer of our platform, enabling dynamic asset generation, intelligent caching, and secure content verification. In this role, you will move beyond experimentation to build production-grade inference pipelines. You will architect systems that generate 2D/3D assets on demand, retrieve content based on semantic understanding, and analyze usage patterns for rights management. You will work closely with the Backend, Engine and Research teams to ensure that our AI models run efficiently, cost-effectively, and within the strict latency requirements of live game environments.
What you'll work on
- Generative Pipeline Architecture: Design and deploy scalable inference pipelines for image, audio, and 3D asset generation (using models like Stable Diffusion, various LLMs, or custom fine-tunes).
- Semantic Search & Retrieval: Implement and optimize vector search systems (CLIP/Embeddings) to enable semantic asset retrieval and intelligent caching.
- Inference Optimization: Optimize model performance for latency and cost, utilizing techniques such as quantization, model distillation, and runtime accelerators (e.g. ONNX, TensorRT).
- Content Security & Analysis: Develop systems for digital watermarking, fingerprinting, and anomaly detection to support our rights management and telemetry services.
- API Integration: Wrap AI models into robust, versioned APIs that integrate seamlessly with our core .NET backend infrastructure.
What we're looking for
- 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)