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Build what matters. Own the outcome.

Join senior builders taking on ambitious AI and product missions for companies that need more than execution. Get close to the problem, make the hard calls, and own what gets shipped.

Six senior builders shown alongside the logos of companies they have worked at

Builders build for

lululemon
Blackstone
Inflection
Allstate
Santander
Morgan & Morgan

18 mo

average engagement

12 yrs

median engineering experience

100+

Fortune 500 clients

< 2%

acceptance rate

AI-first by design

Build AI that has to work in the real world

Build agents, ML systems, data infrastructure, and AI-native products that have to perform inside real businesses, with real users, constraints, and stakes.

01

Past the prototype

Fine-tune on proprietary data. Build retrieval at million-document scale. Design multi-agent workflows that survive real enterprise data, then own the evaluation work that proves it.

02

Own more than your piece

Work directly with the people closest to the problem. Shape the approach, challenge assumptions, and use your judgment to move the mission forward.

03

Expertise, not piecework

Half the market now pays engineers by the task to train other people's models. Missions here are the other kind of AI work: production systems you own, at rates that price expertise.

The kind of missions worth saying yes to

Platform, data, and AI work where senior builders are trusted to do more than execute.

Example missions — anonymized from real engagements, not live listings
Example missions — anonymized from real engagements, not live listings
  • AI / ML
  • Agents
  • Data
  • Product
Lead Engineer — Agentic Operations PlatformEnterprise softwareAI Agents6+ months
Senior ML Engineer — Multimodal CommerceGlobal retailMultimodal4+ months
AI Product Lead — Workflow AutomationB2B SaaSProduct + AI6+ months
Data Engineer — Retrieval InfrastructureHealthcare technologyRAG + Data3+ months
Senior Backend Engineer — Workflow Orchestration MigrationHR technologyPlatform6+ months
Forward Deployed Engineer — Enterprise AI DeploymentAI product companyFDE6+ months
Grid of A.Team builder portraits and the logos of companies they previously worked at

More than a freelance platform

You're matched to missions where your experience and judgment are the reason you're there. No one-off tasks, no race to the lowest rate.

Curated missions

See the full mission details, the team, and the rate range before you apply. If it isn't right, you decline.

Longer engagements

Stay long enough to understand the context, shape the solution, and see what changes because of it. Engagements average 18 months.

Senior peers

You join a small team of experienced builders working alongside the client's own engineers. The architectural calls in your area are yours.

Less admin

Contracts, invoicing, and payments are handled so your energy stays on the mission.

Portrait of a senior software engineer in the A.Team network

18 years of experience

Software Engineer

The caliber of the network

Work with the people companies call when the problem gets hard

Build alongside senior engineers, product leaders, designers, and AI specialists who have already solved hard problems at scale.

I love working with pro peers who never cease to impress me.

Adrian Tineo, Software Engineer
Apply to Join

Inside the network

The knowledge you can't prompt for

An LLM can tell you what a technique is. It can't tell you what happened when someone ran it in production at scale. That's what gets traded here.

01

The AI/ML Guild

Our highest bar. Entry is evaluation, application, then an interview with a Guild lead. Circles go domain by domain: AI engineering, AI product, CPG, fintech, healthcare, data science. Guild sessions monthly, Circles every other month.

02

The Knowledge Vault

Where the work comes back out. Sessions get written up and kept: techniques, failure modes, architecture decisions and the reasoning behind them. Open to every builder, not only the Guild.

03

Credentials we sponsor

A.Team pays for builders to sit Anthropic's Claude Certified Architect exam. Pass our own AI Evaluation and you also carry an AI-Verified badge, which puts you first in line for missions that need proven applied AI.

A.Team time tracking interface for mission billing
The independent upside

Set your rate. Get paid on time.

Keep control over your rate, your time, and the missions you take on, without carrying all of the admin that usually comes with independent work.

Choose your missions

Choose the missions that fit your strengths, interests, and availability.

You set your rate

Name your number on every mission, inside the client's posted range. No fees skimmed off your rate.

Guaranteed on-time payments

Covered from your first mission hour, paid twice a month, whether or not the client has paid us. We can promise that because we only take on vetted, verified companies.

Predictable income

More missions are now scoped as monthly retainers: a flat monthly fee for full-time work, so your income doesn't move with the week.

What the work pays

We'll tell you the numbers before you apply

Rates vary by market and by role. Over the last two years, US-based builders on the network booked a median of $115 an hour, with the middle half between $90 and $130. Architect-level and specialist work runs higher. Most missions are scoped as monthly retainers, where engineering roles typically land between $15,500 and $19,000 a month for full-time work.

Those are rates builders actually booked, not a rate card. You still name your own number on every mission.

Who we hire

Senior builders across the product stack

The network is built for experienced builders who can step into complex work and contribute quickly.

  • AI & ML Engineers
  • AI Architects
  • Senior Software Engineers
  • Data Engineers & Scientists
  • Product Managers
  • Engineering Leaders
  • Fractional CTOs
  • Product Designers

What the builders are figuring out

A look inside the problems, tradeoffs, and lessons A.Team builders are working through on real AI and product missions.

All guides
How to know your AI actually works

Field Notes

How to know your AI actually works

A HubSpot principal engineer on the three questions behind LLM evals in production: observability, LLM-as-a-judge on live traffic, and offline eval sets.

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Every AI coding session forgets what the last one learned

Field Notes

Every AI coding session forgets what the last one learned

Context engineering is the discipline that stops AI coding gains from resetting every session. How an A.Team team made theirs compound across ten engineers, in production.

Read guide
What an AI engineer costs in 2026

Rates & Costs

What an AI engineer costs in 2026

Rate benchmarks for senior AI engineers across FTE salary, contractor hourly, and team augmentation models in 2026. Includes the AI premium, specialization tiers, and the hidden costs most rate comparisons miss.

Read guide

Your path to building with A.Team

1

Show us what you've built

Submit your LinkedIn, portfolio, or GitHub. We're looking at production systems, scale, and impact.

2

Talk with our (human) team

A short call about how you work and what problems you want. Builders with applied AI depth also take the AI Evaluation, a technical conversation with a senior practitioner and the route to AI-Verified.

3

Apply to high-impact missions

Curated and matched to your expertise, with scope, team and rate range visible before you commit.

4

Build with top-tier peers

Matched teams working alongside the client's own engineers. You own the calls in your area from day one.

FAQ

Got questions? We have answers.

Under 2% of applicants are accepted. The bar protects the caliber of the network and the missions people get matched to. The network is 11,000+ builders today.

Apply

Where senior builders do their best work

Ambitious AI and product missions with senior peers and real ownership.

Apply to Join