Hire AI talent.
Get hired in AI.

You fill out a short form telling us what you're looking for. If you're a candidate, you then take a quick AI assessment tailored to your role — we generate a score that reflects your strengths. Our team reviews your profile and score, curates the best company matches, and makes warm introductions. No spam, no blind applications — just relevant connections.

Yes, 100% free. We charge companies a fee when they successfully hire through our network. Candidates never pay anything — not now, not later.

Startups, scale-ups, and enterprises that are building AI into their core product or operations. Think Series A companies building their first ML team, or established companies adding AI capabilities. All of them are serious about AI — not just experimenting.

We currently focus on four key AI roles: AI Product Managers, AI Engineers (covering ML, LLM, and data science), AI Designers (UX and conversational design), and AI Marketers (AI-powered growth and content). If you have a role that doesn't fit these categories, tell us — we're flexible and expanding.

We aim to review submissions within 48 hours and share initial matches within a week. The timeline depends on how specific your requirements are and what's available in our network, but we move fast.

Yes. We support remote, hybrid, and on-site roles globally. Many of our companies are distributed teams and are open to international candidates. Just specify your preferences in the form.

A software engineer builds applications and systems using established programming patterns. An AI engineer specializes in building, training, and deploying machine learning models, large language models, and AI-powered systems. This includes work with frameworks like PyTorch and TensorFlow, building RAG pipelines, fine-tuning LLMs, and deploying models at production scale. AI First Hire focuses specifically on professionals with hands-on AI and ML experience.

Every candidate completes a role-specific AI assessment designed to test practical skills — not textbook knowledge. For AI engineers, this covers areas like model architecture, LLM deployment, and system design. For AI product managers, it evaluates AI product strategy and understanding of ML workflows. We generate a score based on the assessment, review the candidate's profile and experience, and only match them with companies where there's a genuine fit.

Our primary focus is full-time AI hiring, but we do have professionals in our network open to contract and freelance engagements. If you need a machine learning engineer for a short-term project or an AI consultant to help with strategy, let us know in your form submission and we'll see what we can match.

Our network spans a wide range of industries including fintech, healthtech, e-commerce, SaaS, enterprise software, education, and more. Many candidates have experience building AI solutions in regulated environments or at scale. Whether you need someone who understands healthcare compliance or fintech data pipelines, we can match accordingly.