Assemble a senior AI development team in days

Matching happens in days, and most teams are assembled and kicked off within 48 hours of sign-off. You scope the build in one conversation, and we match a group of senior builders across the disciplines it needs, with a lead who owns delivery. Where most dedicated-team shops quote two to four weeks to start, the 48-hour kickoff is what lets you answer a competitive move or hit a time-boxed sprint in the quarter you actually have.

From a two- or three-person pod to a multi-team build spanning several disciplines. The network is more than 11,000 vetted builders deep, so team size follows the work rather than a fixed package. For Apprentice we scaled to 50 builders within two weeks to hit a 45-day pharma-platform rebuild that went on to support the distribution of 370 million vaccine doses, proof the model sizes up fast when the deadline demands it.

ML engineers, data engineers, AI/ML architects, MLOps engineers, data scientists, product managers, and a delivery lead who owns the plan. We size the mix to your build rather than handing you a generic pod, so you get the composition the work actually calls for. Every builder is senior and AI-ready from day one.

LLM integration and fine-tuning, RAG and multi-agent systems, the data engineering and MLOps underneath, multimodal and computer vision, and the full-stack product around the model. It's custom AI development built to run in production against real users, not to demo in a notebook. Teams work in the stacks you already use: Python, PyTorch, TensorFlow, and the major model families.

Hourly, contract-to-hire, ongoing, and advisory, and you can move between them as the project changes. There's no rigid staffing contract and no scope lock-in, so you scale up for a sprint and scale back when it ships. Engagements run about 18 months on average, because teams that embed tend to stay through more than one build.

Under 2% of applicants are accepted into the network, and every builder who clears that bar is senior and AI-ready from day one. That screen is why 300+ companies, including 100+ of the Fortune 500, trust A.Team builders inside their workflow. You get people who read as part of your team because they operate like one.

Every team includes a delivery lead who runs the team, owns the plan, and keeps the code maintainable, so you get delivery support layered on top of the builders, not just the builders. On longer engagements, builders who know your system grow into that lead role themselves. If you'd rather keep delivery in-house, the model also scales down to senior individual contributors doing the work.

Builders set their own rate, and you see one all-in number with no setup, placement, or retainer fees and no hidden markups. Because there's no agency layer in the middle, the economics stay lean: Blank Street found agency quotes came in 66% higher than what their A.Team build ultimately cost. You own the work and the IP that comes out of it.

We replace them in days, not weeks. Because matching runs against a network of 11,000+ builders, a swap doesn't stall the build the way a re-hire would. It's the practical equivalent of a trial period: you're never locked into a builder who isn't working out.

You scale down. There's no scope lock-in and no penalty for resizing the team when the work changes: add builders for a push, scale back when it ships. The team bends to the work rather than the other way around.

Yes. Teams embed in your tools and your standups, working in your timezone and inside your workflow, so they read as part of your team because they're operating like one. That's the difference from a staffing firm that sends resumes or an offshore dev shop that hands you a black box: these builders operate as an extension of your own team.