Applied AI Engineer
Role Overview
This Applied AI Engineer role involves building and optimizing AI-powered features and systems across multiple early-stage venture projects, requiring rapid prototyping and full-stack development. It is a senior-level position within a venture studio team, focusing on validating product ideas and improving system performance through advanced AI techniques. The hire will have a direct impact on bringing AI-driven products to life and shaping venture directions.
Perks & Benefits
The job is fully remote with a worldwide location, offering flexibility in work setup and no specific time zone restrictions. You'll work in a dynamic, fast-paced environment with opportunities for career growth through hands-on experience across various projects and collaboration with cross-functional teams. The culture emphasizes rapid iteration, strong communication, and a bias for high-quality code in a remote setting.
Full Job Description
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
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.
To apply: https://weworkremotely.com/remote-jobs/growth-factory-ventures-applied-ai-engineer
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