Global Post Weekly

Operations Department

Job Description

Prototype rapidly: Validate new product ideas by shipping quick, testable prototypes that inform venture direction. LangChain, Hugging Face, PyTorch, TensorFlow, OpenAI APIs). Optimize AI systems: Improve performance through prompt engineering, retrieval-augmented generation (RAG), tool design, and scalable agent architectures. Strong written and verbal communication; our team is fully remote. Experience with evaluation pipelines, vector databases, or applied ML in production. Proven ability to work on zero-to-one products, ideally at startups or studios. What you’ll do


Build core modules: Develop and maintain AI-powered features and systems across our in-house venture projects. Proficiency in Python and familiarity with AI/ML frameworks (e.g. 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. Work full-stack: Contribute across the stack — from front-end evaluation dashboards and user-facing tools to backend systems (databases, caching, microservices). What we’re looking for


Strong programming fundamentals and a bias for clean, high-quality code. To apply: https://weworkremotely.com/remote-jobs/growth-factory-ventures-applied-ai-engineer Engineer evaluation pipelines: Design automated evaluation systems to measure and improve model and product reliability. Operate in hyperdrive: Switch contexts across multiple ventures, iterating quickly and collaborating with cross-functional founders and teams. Solid backend knowledge: databases, caching, message queues, microservices. Comfort with frontend prototyping for internal tools, dashboards, or MVPs. Headquarters: California
URL: http://growthfactory.vc


We’re searching for for a Applied AI Engineer with strong technical skills, product instincts, and the ability to dive into complex system design.