Skill specialists
Browse reviewed generative AI developers who turn models like GPT, Claude, Llama or Stable Diffusion into working product features: assistants, document search, content generation and agents.
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Hiring guide
Calling a model API is easy; making a generative AI feature that is accurate, affordable and safe in production is not. Good generative AI developers choose the right model for each step, ground answers in your own data, measure quality on real examples, cap costs, and design what happens when the model is wrong.
What does a generative AI developer do?
They build product features on top of generative models: assistants that answer from your documents, tools that draft or summarize, agents that carry out multi-step tasks, and image or audio generation. The work includes choosing models, connecting your data, testing quality and keeping costs under control.
Generative AI developer or machine learning engineer?
A generative AI developer mostly builds with existing models through APIs or open-source weights and focuses on the product around them. A machine learning engineer more often trains and deploys models. For an assistant, document search or an agent, start with a generative AI developer.
How do I check a generative AI developer before hiring?
Ask for a feature they shipped and how they measured it: how many test questions, what share were answered well, and what they changed to improve it. Then ask what it costs per month to run. Clear numbers from their own work are a good sign.
Can I hire a generative AI developer for a short project?
Yes. Many developers on RemoteAI accept freelance and contract work. A fixed-price first milestone, such as a working prototype tested on 50 of your real questions, keeps the risk small before a longer engagement.
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