Senior AI engineers, embedded in your team.

Reduce delay — add the AI expertise your dev team is missing

S&P 500
24h → Real-time
Reporting for an S&P 500 company serving 700+ users
Retail
All Stores Deployed
Video analytics rolled out across one of Brazil's largest retailers
Agtech
Mobile + Cloud
CV pest detector on SageMaker integrated into agtech mobile app

WHAT IS AI SQUAD?

AI Squad embeds senior AI engineers directly into your development team. We join your codebase, your standups, your Slack — and we ship alongside your engineers.

This is not outsourcing. We complement your existing team with the AI-specific skills they don't have yet — data pipelines, model serving, MLOps, prompt engineering, computer vision, NLP — so you can deliver AI features without hiring a full AI department.

Your team stays in control. Your architecture, your repos, your rituals. We bring the AI muscle.

STAFF AUG, NOT OUTSOURCING

We work inside your team — not as a separate vendor

What we do

  • Join your Slack/Teams, standups, and sprint rituals
  • Commit to your repos with your branching strategy
  • Pair program with your engineers daily
  • Attend your retros and planning sessions
  • Follow your coding standards and review process

What we don't do

  • Build in a separate codebase you can't access
  • Hand over a finished product at the end
  • Run our own project management in parallel
  • Work in isolation from your engineering team
  • Create vendor lock-in or proprietary dependencies

Need AI engineers but don't want to outsource?

Tell us about your team and we'll scope the right AI profiles for you.

PROBLEMS WE SOLVE INSIDE YOUR TEAM

Real gaps our engineers fill — so your team ships AI without hiring a full department

Your data is a mess

We build the pipelines, ETL, and data quality systems that turn raw data into AI-ready assets — batch or real-time.

You need a model in production, not a notebook

We take models from experiment to production: training, evaluation, fine-tuning, serving, and monitoring.

You want GenAI but don't know how to ship it

We build LLM integrations, RAG architectures, agent systems, and evaluation frameworks that actually work at scale.

Your ML models break in production

We set up CI/CD for ML, monitoring, A/B testing, drift detection, and automated retraining so models stay healthy.

You need eyes where humans can't scale

We build computer vision systems — object detection, video analytics, OCR, quality inspection — and deploy them to cloud or edge.

Your infra can't support AI workloads

We design AI-ready architecture on AWS, GCP, or Azure — infrastructure as code, GPU orchestration, and cost optimization.

TEAM CONFIGURATIONS

Scale up or down based on your needs

1 AI Engineer

Best for teams adding their first AI feature or starting a focused AI initiative.

  • Single AI workstream
  • Embedded in one squad
  • Direct pair programming
  • Knowledge transfer focus

2–3 AI Engineers

Best for teams with multiple AI workstreams or a complex production system to build.

  • Parallel AI workstreams
  • Dedicated tech lead
  • End-to-end AI pipeline
  • Cross-team collaboration

Full AI Cell

Best for organizations running AI as a core product capability across multiple teams.

  • 4+ engineers with mixed profiles
  • AI architecture ownership
  • Platform and tooling setup
  • Hiring support for your team

HOW IT WORKS

Simple onboarding, deep integration

1
Week 0
Scoping Call
We map your tech stack, team structure, and AI goals. You get a proposal with recommended profiles, team size, and engagement terms.
2
Week 1
Onboarding
Our engineers get access to your repos, tools, and channels. We study your codebase, architecture docs, and join your sprint rituals from day one.
3
Weeks 2–8
Ramp & First Deliveries
First PRs merged within the first sprint. By week 8, our engineers are fully autonomous contributors shipping features alongside your team.
4
Ongoing
Full Velocity
Continuous delivery at full speed. Monthly check-ins to adjust team size, rotate specializations, or shift priorities as your AI roadmap evolves.

Ready to add AI firepower to your dev team?

Tell us about your team and project — we'll recommend the right configuration.

FREQUENTLY ASKED QUESTIONS

What is the minimum commitment?

AI Squad engagements have a 12-month minimum contract. Building real AI capabilities takes time — this commitment ensures we can deliver meaningful, lasting impact rather than surface-level work.

How is this different from hiring a software house?

A software house builds something for you and hands it over. We work inside your team — your repos, your tools, your process. Your engineers learn alongside ours, and everything we build is fully owned by you from day one.

Can we scale the team up or down?

Yes. After the initial onboarding period, you can adjust the team size based on your evolving needs. We can add new profiles or rotate specializations as your AI roadmap progresses.

Do we need a POC before starting with AI Squad?

Not necessarily. If you already have a clear use case or validated prototype, we can start embedding immediately. If not, we can help you run a POC first to validate the direction.

When is AI Squad NOT the right fit?

If you don't have a development team and need someone to build a standalone product from scratch, AI Squad is not the right model. We augment existing teams — we don't replace them. For standalone builds, start with Discovery or a POC to define the path.

Talk to an AI Expert

Tell us about your project and we'll get back to you within 24 hours with a tailored recommendation.

Your data is safe with us. We never share your information with third parties.