Applied AI Engineer

Growth Factory Ventures; United States; Remote; USD 120,000 - 190,000; Part time

Benefits offered by this job

Equity in ventures

Remote-friendly

Flexible hours

Job summary

Growth Factory Ventures is looking for an Applied AI Engineer to join our in-house venture studio. You will build AI-powered features across multiple early-stage projects, spanning BioHealth, B2B SaaS, and AI initiatives, with a focus on real-world product validation.

As a hands-on engineer, you'll work full-stack on dashboards, backend services, and evaluation pipelines, shipping rapid prototypes to inform venture direction and growth.

Qualifications

• Proficient in Python with experience in AI/ML frameworks.
• Backend systems: databases, caching, queues, microservices.
• Frontend prototyping for internal tools.
• Experience with evaluation pipelines and vector databases.
• Strong communication; able to work remotely.

Responsibilities

• Build AI-powered features across ventures.
• Optimize AI systems with prompt engineering, RAG, and tool design.
• Prototype quick, testable AI-driven products.
• Design automated evaluation pipelines.
• Contribute full-stack work across dashboards and backend.
• Collaborate with founders and cross-functional teams.

Skills

Programming basics

Python

AI/ML frameworks

Frontend prototyping

Communication

Zero-to-one experience

Tools

LangChain

Hugging Face

PyTorch

TensorFlow

OpenAI APIs

Job description

We're a venture capital firm with an in-house venture studio, built to turn bold ideas into venture-scale startups. Beyond direct investments, we operate at zero-to-one; teaming up with operators, engineers, designers, and domain experts to validate real-world problems and build from scratch. Over the past three years, Fund I has backed 70+ startups; not just with capital, but with hands-on support to engineer real wins across BioHealth, B2B SaaS, AI, and beyond.

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.

What we're offering

• The opportunity to build multiple companies from the ground up
• Deep collaboration with serial founders, designers, engineers, and investors
• Remote-friendly, with flexible work hours and collaborative rituals
• This is a contract role with the potential to transition into full-time employment, offering a competitive salary plus equity in the ventures you help launch