Headquarters: California
URL: http://growthfactory.vc
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
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Build core modules: Develop and maintain AI-powered features and systems across our in-house venture projects.
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Optimize AI systems: Improve performance through prompt engineering, retrieval-augmented generation (RAG), tool design, and scalable agent architectures.
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Prototype rapidly: Validate new product ideas by shipping quick, testable prototypes that inform venture direction.
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Engineer evaluation pipelines: Design automated evaluation systems to measure and improve model and product reliability.
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Work full-stack: Contribute across the stack — from front-end evaluation dashboards and user-facing tools to backend systems (databases, caching, microservices).
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Operate in hyperdrive: Switch contexts across multiple ventures, iterating quickly and collaborating with cross-functional founders and teams.
What we’re looking for
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Strong programming fundamentals and a bias for clean, high-quality code.
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Proficiency in Python and familiarity with AI/ML frameworks (e.g. LangChain, Hugging Face, PyTorch, TensorFlow, OpenAI APIs).
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Solid backend knowledge: databases, caching, message queues, microservices.
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Comfort with frontend prototyping for internal tools, dashboards, or MVPs.
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Proven ability to work on zero-to-one products, ideally at startups or studios.
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Strong written and verbal communication; our team is fully remote.
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Experience with evaluation pipelines, vector databases, or applied ML in production.
To apply: https://weworkremotely.com/remote-jobs/growth-factory-ventures-applied-ai-engineer
