Hire AI Developers

Hiring a dedicated AI developer typically costs $6,000 to $40,000 per month, depending on seniority and specialism, with generative AI, agentic, and MLOps skills commanding higher rates. For comparison, a US in-house AI engineer costs roughly $80,000 to $200,000 in salary, plus 20 to 30% overhead after accounting for benefits, recruiting, and equipment.

We confirm a firm rate for your exact seniority and engagement model in a short scoping call.

Vetted AI developers can usually start within a few days of you approving a candidate, rather than the three to six months a senior in-house hire takes. The exact start date depends on the seniority and specialisation you need and how quickly you complete interviews.

Hire in-house when AI is core to your product, and you can support full-time salaries and a 3- to 6-month recruiting cycle. Use freelancers for small, one-off tasks, and a dedicated team when you need vetted, production-grade capacity fast with continuity and managed delivery.

A dedicated model gives you the skill and speed of an agency with the focus of an embedded engineer, without the overhead of a full-time hire.

Yes. You can hire generative AI developers for LLM, RAG, and agentic builds or ML developers for model training, deep learning, and MLOps, matched to the exact skill you need. We place specialists, not generalists, so the developer you hire has shipped the kind of AI you are building.

Our AI developers handle generative AI and LLM apps, AI agents, machine learning and deep learning models, NLP, computer vision, AI integration, intelligent automation, and predictive analytics. Whether you are adding an AI feature, building an agent, or deploying a model to production, we match a specialist with proven delivery in that area.

Yes. You can hire a dedicated AI developer full-time, engage one part-time, or bring on a full team, and you can move between these models as the work changes. We match the engagement to your scope rather than forcing a single arrangement.

We screen every developer for real production AI delivery, technical skill, and communication before you see a profile, so you interview only engineers who can do the work. You then run your own interview and confirm the fit before anyone is assigned to your project.

Yes. Our developers work under your direction, and everything they build, including the source code, trained models, and data, belongs to you. Ownership is defined in the contract from the start, so there is no ambiguity and no lock-in.

We set security and compliance rules at the start of the engagement, and our developers work within your access controls, tools, and data policies. For regulated work, we align with standards such as GDPR, HIPAA, and SOC 2, and we sign NDAs before any data is shared.

Yes. Our AI integration developers connect models to your platforms, CRMs, ERPs, and data systems through clean API design and data pipelines, so the AI works inside your current stack. We review your architecture first, so integration challenges are caught before they become production problems.

Yes. AI models lose accuracy as data changes, a problem called model drift, so our developers can monitor performance, retrain models, and maintain systems after launch. Support terms are set per engagement, from a defined maintenance window to ongoing model governance.

Your hired developers work in your communication tools, join your stand-ups, and report to you directly, so they operate like your own team members. We set up the reporting cadence and timezone overlap with you during onboarding.

If a developer is not the right fit early in the engagement, we replace them at no extra cost, so the hiring risk sits with us, not you. You keep control of the selection, and we keep matching until the fit is right.