Growth Factory Ventures: Applied AI Engineer

Growth Factory Ventures: Applied AI Engineer We’re looking for a Applied AI Engineer with strong technical skills, product instincts, and the ability to dive into complex system design. You’ll be hands-on with multiple early-stage projects across our venture studio, helping us validate opportunities and bring AI-driven products to life. What you’ll do Build core modules: Develop and maintain AI-powered features and systems across our in-house venture projects. Optimize AI systems: Improve performance through prompt engineering, retrieval-augmented generation (RAG), tool design, and scalable agent architectures. Prototype rapidly: Validate new product ideas by shipping quick, testable prototypes that inform venture direction. Engineer evaluation pipelines: Design automated evaluation systems to measure and improve model and product reliability. Work full-stack: Contribute across the stack — from front-end evaluation dashboards and user-facing tools to backend systems (databases, caching, microservices). Operate in hyperdrive: Switch contexts across multiple ventures, iterating quickly and collaborating with cross-functional founders and teams. What we’re looking for Strong programming fundamentals and a bias for clean, high-quality code. Proficiency in Python and familiarity with AI/ML frameworks (e.g. LangChain, Hugging Face, PyTorch, TensorFlow, OpenAI APIs). Solid backend knowledge: databases, caching, message queues, microservices. Comfort with frontend prototyping for internal tools, dashboards, or MVPs. Proven ability to work on zero-to-one products, ideally at startups or studios. Strong written and verbal communication; our team is fully remote. Experience with evaluation pipelines, vector databases, or applied ML in production. #J-18808-Ljbffr CloudDevs