Hire AI Developers · AI Engineering Team

Hire AI Developers Who've Actually Shipped AI

Hire dedicated AI developers and engineers who build agents, generative-AI features, and LLM and RAG systems. Ours have already done it in production, both in our own SaaS and for a client. You get the same deal as every hire with us: named engineers, a 2-week trial to start, no bench, and no rotating contractors. We work with teams in the US, UK, Canada, and Australia.

Book a Call

Prefer to send a message? Contact us

AI developers collaborating with a client team on production AI features
7+Years in Business
80%+Client Retention
20+Engineers
2-WeekEmbedded Trial

Why Hire AI Developers?

You hire AI developers when you want real AI inside your product. That could be an agent that takes actions, a generative feature, an LLM or RAG system grounded in your own data, or AI added to an app you already run. There's a big gap between calling an AI API once and shipping AI that keeps working every day in production. A good AI developer is the person who closes it.

The demo is the easy part. The hard work comes after: grounding the model in your data, checking that it actually does the job, adding guardrails, and watching how it behaves under real traffic. Most AI projects stall on the way to production because no one planned for that. Ours have done it, because we run AI in production ourselves.

Our AI engineers know more than the APIs. They know what makes AI reliable: retrieval and RAG, agent frameworks and tool-calling, testing, guardrails, and the setup to run models without burning your budget. That is what separates someone who can build an AI demo from someone who can own a feature your users depend on.

When You Need an AI Developer (and When You Don't)

AI is the right investment for a lot of products, but not every idea needs a dedicated AI engineer. Here's the straight version, so you can decide before you hire.

Hire an AI developer when

  • You want an agent that takes real actions like sending emails, updating records, or moving data between systems, and does it reliably enough to trust in production.
  • You need generative-AI or LLM features grounded in your own data, where accuracy and guardrails actually matter.
  • You're adding a RAG system and want it architected to scale as your knowledge base grows.
  • You have an existing product and want AI wired into it properly, not bolted on as a fragile afterthought.
  • Your team can prototype with AI but keeps hitting the wall on evaluation, reliability, and getting it to production.

You may not need one when

  • An off-the-shelf AI tool already does the job. Use it, don't rebuild it.
  • You're adding a single API call to a side project. That doesn't need a dedicated hire.
  • You can ship it yourself with AI and you have the time. For some people, doing it yourself is genuinely enough, and we'll tell you honestly if that's you.

Not sure which side you're on? That's a good first conversation. We'll be honest with you. If you don't need to hire anyone yet, we'll say so. If you do, we'll match you with an AI developer who has actually shipped AI.

Why Teams Choose Us Over Marketplaces

Marketplaces give you a resume. We give you a teammate, and one who has actually run AI in production.

We Run Our Own AI Agents

We run three AI agents to help operate this company: Freddy handles finance, one agent fixes bugs, and another reviews code. We also run agentic workflows inside our own SaaS. So our AI developers have shipped AI that touches real money and real code, not just demos.

Named Engineers, Not a Rotating Pool

You'll know your AI developer by name. They'll learn your product, your data, and your constraints. We don't rotate people off your project when something shinier comes along.

Vetted Before You Meet Them

Every AI developer we propose is a full-time member of our team, screened on real AI work like agents, RAG, testing, and guardrails. They're not keyword-matched contractors. You still interview them yourself before deciding.

Two-Week Embedded Trial

Before any long-term commitment, your AI developer joins your team for two weeks. Same Slack, same repo, same code reviews. You see how they work before you decide.

We Built Our Own Product

Formester is our own SaaS. It's live in production, rated 4.7/5 on G2, and has an AI form builder, agentic workflows, and a RAG system. Building and running our own AI taught us what "reliable" really means.

Partnerships That Grow

PerformLine started with one of our engineers. Two years later, there are eight-plus of us on it. That's not a staffing transaction. That's what happens when engineers actually care about the product.

What Our AI Developers Build

Real AI inside real products, proven on our own SaaS and for a client.

AI Agents & Agentic Workflows

Agents that take real actions like generating emails, scoring data, and triggering the next step, with the tool-calling and guardrails that make them trustworthy. See AI agent development.

Generative AI Features

Text and content generation built into your product's real workflows, with the testing and guardrails that keep the output usable in production.

LLM & RAG Systems

Retrieval-augmented generation (RAG) grounded in your own knowledge base, built to scale as your data grows.

AI Into Existing Products

You already have an app. Our engineers add AI to it, including the features and the infrastructure behind them, without a rebuild.

AI Chatbots That Do Work

Assistants that look things up, take actions, and hand off to a human when needed, instead of just giving canned answers.

Fixing Broken AI Apps

We also fix AI-built apps that broke on the way to production. That's AI App Rescue.

AI Tech Stack & Skills

Models

ClaudeGPTOpen models

Retrieval

RAGVector databasesKnowledge bases

Agents

openclawnanoclawTool calling

Engineering

PythonNode.jsAPIs & integrations

Reliability

EvaluationGuardrailsMonitoring

From First Call to First Commit

1

Discovery Call

We learn about your product, your AI use case, and the kind of engineer you need. No generic pitch, just a real conversation about whether AI is worth the investment and what it would take.

2

Engineer Matching

Based on your use case, stack, and domain, we propose specific AI developers, already vetted on real AI work rather than pulled from a resume database. You interview them yourself. No account managers in between.

3

Two-Week Trial

Your AI developer joins your team for a two-week embedded trial. Same tools, same standups, same code reviews. You see real output before any long-term commitment.

4

Ongoing Partnership

If the trial works, we keep building together. Monthly rolling engagement after the initial commitment. Scale up, scale down, or add complementary skills as your product grows.

You talk to the engineers who will actually build your AI. No account managers translating in between.

Flexible Hiring, No Lock-In

Dedicated (Full-Time)

Best for: Ongoing AI product development

A full-time AI developer embedded in your team. They attend your standups, use your tools, and work exclusively on your product. The closest thing to an in-house AI hire without the overhead.

Part-Time

Best for: A defined AI feature or ongoing improvements

A dedicated AI developer for 20 hours per week. Ideal when you need consistent AI output but don't have a full-time workload. Same engineer, every week.

Project-Based

Best for: A scoped AI build with clear deliverables

An AI developer (or a small team) for a specific project, like an agent, a RAG system, or an AI feature, with fixed milestones. We scope it together, agree on what you'll get, and build it.

All models start with a two-week trial. Monthly rolling after the initial three-month commitment. No long-term lock-in. Not sure which fits? Our resource augmentation and full project delivery pages walk through each engagement.

AI We've Actually Shipped

Formester: AI in our own product

Formester is our live SaaS, rated 4.7/5 on G2. People use it to build and edit forms with AI, and over 800 forms have been created that way. It also runs agentic post-submission workflows and a RAG system, all in production. Running our own AI is why our engineers know what reliable really takes.

PerformLine: client AI delivery

PerformLine builds AI solutions for compliance monitoring, flagging content that breaks the rules. We've been their engineering partner for 2+ years, growing from one engineer to eight-plus. It's proof we deliver AI for paying clients, not just for ourselves.

Frequently Asked Questions

How much does it cost to hire an AI developer?
Rates depend on seniority, the AI work involved, and the engagement model. Because we're based in India and our clients are mostly in the US, UK, Canada, and Australia, you get senior AI talent at a fraction of local hiring costs. We're clear about pricing from the first call, with no hidden fees or surprise markups, and if a simpler or off-the-shelf option would serve you better, we'll say so. Contact us for a specific quote based on your use case.
What can your AI developers actually build?
AI agents and agentic workflows (that take real actions, not just chat), generative-AI features, LLM and RAG systems grounded in your data, AI chatbots that do real work, and AI wired into an existing product. We also fix AI-built apps that broke on the way to production. Our engineers have shipped AI in our own SaaS (Formester) and for a client (PerformLine).
What's the difference between hiring a freelance AI developer and a dedicated one from you?
Freelancers work across multiple clients and often stop at a working demo. Our dedicated AI developers work only on your product, build up context over months, and bring the full backing of our team. If your engineer hits a wall on infrastructure, data, or a tricky testing problem, they have senior colleagues to lean on. They've also shipped AI in production themselves, which is exactly where most AI projects fail.
How do you vet your AI developers?
Every AI developer we propose is a full-time member of our 20+ person engineering team, not a contractor pulled from a marketplace. They're screened on real AI work: agents and tool-calling, RAG and grounding, testing, guardrails, and shipping AI to production. You then interview the specific engineers we propose and confirm the fit yourself during a two-week trial before any long-term commitment.
Can your AI developers add AI to my existing product?
Yes, it's one of the most common things we do. Our engineers look at your codebase, scope the real use case, and add the AI (an agent, generative feature, RAG system, or model infrastructure) into what you already have, without forcing a rebuild.
Do your AI developers work in my timezone?
We have significant overlap with US, UK, and European timezones, and we work with clients in Canada and Australia too. Our developers adjust their schedules to match your team's working hours, usually 4 to 6 hours of direct overlap for real-time work, with async work covering the rest.
What if I only need help deciding whether to build with AI at all?
That's a fine first conversation, and we won't push you into a hire. If an off-the-shelf tool covers your need, or you can ship it yourself with AI, we'll tell you honestly. We only want to work with teams that genuinely need what we do, and that honesty is the whole point.
What happens if a developer isn't a good fit?
That's exactly what the two-week trial is for. If the fit isn't right, for any reason, you walk away at no cost for the trial period. If issues come up later, we'll work with you to fix the concern or propose a different engineer. We care about the partnership working, not just filling a seat.

Ready to Meet Your AI Team?

No pitches. No pressure. Just a conversation about your AI use case and whether our AI developers are the right fit. Start with a two-week embedded trial. If it works, we keep building together. If you don't need us yet, we'll tell you.

Book a Call

Prefer to send a message? Contact us

Or email us at business@acornglobus.com