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AI developers build the systems that make your product intelligent — LLM-powered features, AI agents, retrieval pipelines, and AI application backends. Unlike machine learning engineers who train custom models from scratch, AI developers specialise in building production applications on top of existing foundation models: GPT-4, Claude, Gemini, and the open-source ecosystem. Companies searching for an AI developer to hire need someone who has shipped AI features to real users — not just built demos. RemoteAI connects you with vetted AI developers who meet exactly that standard.
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AI developers build the systems that make your product intelligent — LLM-powered features, AI agents, retrieval pipelines, and AI application backends. Unlike machine learning engineers who train custom models from scratch, AI developers specialise in building production applications on top of existing foundation models: GPT-4, Claude, Gemini, and the open-source ecosystem. Companies searching for an AI developer to hire need someone who has shipped AI features to real users — not just built demos. RemoteAI connects you with vetted AI developers who meet exactly that standard.
AI developers on RemoteAI design and build AI-powered product features and systems: integrating LLMs via the OpenAI, Anthropic, Gemini, or Hugging Face API into existing products; designing and implementing AI agent systems that complete multi-step tasks using tool-calling; building retrieval-augmented generation (RAG) pipelines that ground AI responses in company data; optimising prompt architectures for reliability and consistency at scale; building AI application backends with streaming responses, latency management, and cost control; and implementing safety layers including output guardrails and fallback strategies. An AI developer bridges the gap between a raw LLM API and a production-ready AI product.
Finding the right ai developer requires more than evaluating technical skills — it means identifying someone who ships production-ready work and understands your business goals. Here is exactly how to do it.
AI developers work across a wide surface — LLM integration, agent orchestration, AI application backends, and inference optimization. Define whether you need a feature built on top of existing models, a custom agent system, or AI infrastructure, so candidates understand the scope immediately.
Strong AI developers have production systems to show — chatbots with real users, agent pipelines handling live traffic, AI APIs serving thousands of requests. RemoteAI filters for this. Review candidates ranked by relevance to your stack and deployment target.
Any AI developer worth hiring has a framework for handling hallucinations, prompt injection, rate limits, and latency spikes. How they approach the failure cases is more revealing than how they describe the happy path.
Negotiate rate and scope directly with your AI developer. RemoteAI takes nothing from the contract.
AI Developers on RemoteAI charge based on project scope and experience level. The following ranges reflect typical engagements for each type of project.
AI developers build AI-powered applications and systems — LLM integrations, AI agents, retrieval pipelines, and AI product backends. Machine learning engineers focus on the model layer — training, evaluation, and deployment of custom ML models. For LLM-powered features using existing APIs, you want an AI developer. For custom model training, you want an ML engineer.
AI-powered applications: chatbots, AI assistants, recommendation systems, document intelligence tools, AI agents that complete multi-step tasks, RAG pipelines that ground LLM responses in your data, and APIs that serve AI features to your product.
Mid-level AI developers on RemoteAI charge $85–$160/hr. Senior AI developers with LLM fine-tuning, agent architecture, and production AI system experience charge $160–$280/hr.
No-code AI tools are right for simple, well-defined automations. An AI developer is right when you need custom logic, integration with your existing systems, production reliability, or a competitive advantage that off-the-shelf tools cannot provide.
Most posts receive matched candidates within 24 hours. RemoteAI reviews profiles for real AI production experience — you get a short, relevant shortlist, not hundreds of unqualified applications.