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Factory Ventures: Applied AI Engineer

Job in California, Moniteau County, Missouri, 65018, USA
Listing for: CloudDevs
Full Time position
Listed on 2026-02-16
Job specializations:
  • Software Development
    AI Engineer, Software Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 USD Yearly USD 80000.00 100000.00 YEAR
Job Description & How to Apply Below
Position: Growth Factory Ventures: Applied AI Engineer
Location: California

Headquarters: California
URL: (Use the "Apply for this Job" box below)..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 back‑end systems (databases, caching, microservices).

  • Operate in 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. Lang Chain, Hugging Face, PyTorch, Tensor Flow, OpenAI APIs).

  • Solid back‑end knowledge: databases, caching, message queues, microservices.

  • Comfort with front‑end 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:

Source ⇲

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