Hire AI Developers Who Turn Your Product Intelligent
Most teams don't need a research lab — they need to hire AI developers who can wire intelligence into an existing product: a support chatbot that actually resolves tickets, a copilot inside the dashboard, semantic search that replaces keyword matching. Aizecs matches you with senior developers from India who do exactly that, with named profiles in your inbox within 48 hours.
48h
To interview-ready profiles
2–6 wks
Typical first AI feature shipped
5+ yrs
Median developer experience
60%+
Savings vs US loaded cost
Transparent Pricing
Transparent Rates to Hire AI Developers
AI development skills carry a 20–30% premium over generalist rates across the market. Ours are published below by seniority — the same numbers you'd hear on a sales call, minus the sales call.
| Role / Seniority | Aizecs (India) | Toptal / Turing | Upwork Freelancers | US In-House |
|---|---|---|---|---|
| Mid-Level AI Developer (3–5 yrs) | $28–$50/hr | $90–$130/hr | $40–$70/hr | $150–$190/hr |
| Senior AI Developer (5–8 yrs) | $45–$80/hr | $110–$160/hr | $50–$90/hr | $180–$230/hr |
| Staff AI Developer / Tech Lead (8+ yrs) | $55–$85/hr | $130–$180+/hr | $60–$100/hr | $200–$250/hr |
| Full-Stack Developer (AI-native) | $38–$65/hr | $90–$150/hr | $25–$50/hr | $100–$160/hr |
Bill rates for dedicated full-time developers, benchmarked 2025–26. Upwork ranges are unvetted freelance asking prices. US in-house is fully loaded — salary, benefits, payroll taxes, and overhead included.
How It Works
Four Steps to an AI Developer in Your Repo
The process is deliberately boring: describe the feature, meet the developers, trial one on real work, keep going if it works.
Tell us what you want to ship
In a 30-minute call we scope the AI capability you're after — chat, copilot, automation, search — along with your product stack and timeline. If an API integration beats a custom build, we'll say so on this call.
Meet 2–4 named developers
Within 48 hours you get profiles of developers who've shipped similar features, with real project references. Interview them with your own bar — live coding, system design, product judgment.
One paid week of real work
The developer you pick joins your sprint and works actual tickets for a week. If the collaboration isn't clicking, that week is all you pay and we bring a replacement candidate at no charge.
Ship, then decide monthly
Engagements roll month-to-month. Keep the developer through the roadmap, add a teammate, or close out with 30 days' notice once the feature is live and stable.
Roles We Staff
What Our AI Developers Build Inside Your Product
Six specializations cover the vast majority of AI feature work product teams bring us — all delivered inside your existing codebase, not a separate 'AI project'.
Conversational AI Developers
Customer-facing chat and support bots on Claude and GPT APIs — grounded in your docs via RAG, with escalation paths and answer-quality evals built in.
Copilot Feature Developers
In-app assistants that draft, summarize, and suggest — streaming responses, context injection from user data, and UX patterns that make AI feel native to your product.
AI Automation Developers
Replace manual back-office steps with LLM-powered workflows — document extraction, ticket triage, data enrichment — with human review where the stakes demand it.
Semantic Search Developers
Upgrade keyword search to meaning-based retrieval with embeddings and vector databases like pgvector or Pinecone, tuned on your actual query logs.
AI Integration Developers
Connect model providers to your existing services cleanly — API abstraction layers, prompt versioning, caching, rate-limit handling, and cost monitoring.
Full-Stack Developers with AI Depth
React, Next.js, Node, and Python developers who build the whole feature — UI, backend, and the model layer — so you don't need three hires for one copilot.
Why Aizecs
Why Product Teams Pick Aizecs for AI Development
Plenty of vendors will sell you 'AI developers'. The difference is in what happens after the contract is signed — and our terms are built so the risk stays on our side.
Feature shippers, not demo builders
We vet for developers whose AI work reached real users — with the error handling, cost controls, and monitoring that separates a feature from a prototype.
Named profiles, always
You interview the specific developer who'll be in your standup. No anonymous bench, no post-signature substitutions.
Trial week guarantee
A paid week of real sprint work before you're committed to anything. Not a fit? One week's cost, free replacement, no hard feelings.
Overlap you can pair in
At least 4 hours daily with US Eastern and near-full EU/UK coverage — code reviews and debugging sessions happen live, not asynchronously overnight.
Selective by design
Under 1 in 20 applicants make it through our vetting; median experience is 5+ years. Every profile you see has already cleared that filter.
Contracts that protect you
US-enforceable MSA with full IP assignment and NDA. Developers work in your repos under your permissions — your code and data never sit in ours.
Engagement Models
Engagement Shapes That Match Your Roadmap
From a single feature to a standing AI capability, pick the structure that fits — and change it monthly as the roadmap shifts.
Single embedded developer
One senior AI developer inside your existing squad, delivering an AI feature alongside your team under your process.
Best for: Your first AI feature or a focused skill gap
AI feature squad
Two or three developers who take an AI initiative from design through launch — copilot, automation suite, or search overhaul — reporting into your PM.
Best for: A dedicated AI initiative with a deadline
Ongoing AI capacity
A standing developer or pair who owns your AI surface area long-term: new features, model upgrades, cost optimization, and eval maintenance.
Best for: Products where AI is now a core competency
Compare Your Options
Aizecs Against the Other Ways to Get AI Built
The honest comparison across marketplaces, freelancers, and in-house hiring — including what happens when things go wrong.
| Aizecs | Toptal / Turing | Upwork | US In-House | |
|---|---|---|---|---|
| Senior AI developer rate | $45–$80/hr | $110–$160/hr | $50–$90/hr | $180–$230/hr loaded |
| Shipped-feature vetting | Yes, production work reviewed | Generic skills screen | None | Your process |
| First AI feature live | 2–6 weeks typical | 4–8 weeks | Highly variable | 2+ quarters incl. hiring |
| Bad-fit protection | Trial week + free swap | Limited guarantee | None | None |
| Ongoing commitment | Month-to-month | Monthly + fees | Per contract | Permanent salary |
FAQ
Common Questions
What's the fastest way to hire AI developers who can start this month?
Book the intro call, get 2–4 named profiles within 48 hours, run your interviews, and start the paid trial week — typically inside two weeks end-to-end. Most clients see their first AI feature in production within 2–6 weeks of the developer starting.
How much does it cost to hire AI developers through Aizecs?
Mid-level AI developers are $28–$50/hr, senior $45–$80/hr, and staff-level leads $55–$85/hr — a 20–30% premium over our generalist rates, and still less than half of US in-house loaded cost at $150–$250/hr. All rates are published; there's no negotiation theater.
Do I need a custom model, or can developers build on Claude and GPT APIs?
For most product features — chat, copilots, summarization, extraction — building on Claude or GPT APIs ships faster, costs less, and improves as the models do. Our developers default to the API path and only recommend custom or fine-tuned models when your data or unit economics genuinely require them.
How is an AI developer different from a machine learning engineer?
An AI developer is a product engineer who integrates intelligence into applications — APIs, RAG, embeddings, UX. A machine learning engineer trains and deploys models themselves. If you want AI features in your product, hire AI developers; if you need custom model training, see our ML engineer page.
Will the developer work in our codebase and our tools?
Yes — that's the whole model. Developers commit to your repositories, join your Slack and standups, and follow your review process. IP assignment and NDA under a US-enforceable MSA mean everything they produce is yours from day one.
What if the AI feature needs to handle sensitive customer data?
Developers work entirely inside your infrastructure and access controls, so data governance stays your call. They routinely implement PII redaction before model calls, provider data-retention opt-outs, and audit logging — and can advise on which model deployment options meet your compliance needs.
Can I scale from one developer to a small AI team later?
Yes, and it's common. Teams typically start with one embedded developer for a first feature, then add a second or third within 1–2 weeks' lead time as the AI roadmap grows. Everything stays month-to-month with 30 days' notice, so scaling down is just as easy.
Your Next AI Feature Is a Trial Week Away
Tell us the feature — chatbot, copilot, automation, search — and interview named AI developers within 48 hours.
Start with one paid week of real sprint work. If it isn't a fit, that week is the whole cost and we replace the developer free.
One 30-minute call, no commitment. If your feature is a weekend API integration, we'll tell you that instead of selling you a developer.