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AI Engineering Agent · from $199

Hire an AI developer without the freelancer hunt

Have a product and want AI working inside it: answers from your documents, fields pulled from uploads, tickets sorted automatically? Describe the feature. An AI agent quotes a fixed price in about a minute, and an engineer checks the build.

  • Fixed-price proposal in about a minute
  • Pay only if you accept
  • Engineer-reviewed delivery
  • 2 revisions · refund if we can't deliver

Post your AI job

0/5000 · more detail = a sharper price

Free to post · no account · you only pay if you accept · from $99

Typical jobs & prices

What clients hire an AI developer for

Indicative fixed prices. Your proposal is priced for your exact brief.

Classify incoming support tickets or product feedback into your own categories

from $199 ~2 days
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Evaluation suite and cost report for an AI feature you already run

from $399 ~3 days
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Pull totals, dates and line items from uploaded invoices into your app

from $499 ~4 days
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Semantic search across your product catalog or knowledge base

from $699 ~5 days
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Chat over your help center and PDFs, with every answer citing its source

from $799 ~6 days
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Support agent that looks up orders through your API and drafts replies

from $1,499 ~10 days
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AI features that hold up in production

Hiring an AI engineer used to mean a long search and a large salary. For most companies the need is narrower: add one or two AI features to a product that already works. Common requests are a search or chat box that answers from your help center and contracts, a step that pulls invoice numbers and totals from uploaded files, automatic tagging of tickets or customer feedback, and an agent that looks up an order and drafts a reply through your own APIs.

What separates a demo from a feature is evaluation. Before building, the agent asks for 20 to 50 real examples along with the answers you'd expect, and those become a test set the feature has to pass. Document chat returns citations to the source passage and a fallback when nothing relevant turns up. Extraction and classification produce structured fields validated against a schema. Agents get a fixed list of tools, and anything risky waits for a person to approve it.

Cost and data handling are designed in, not discovered later. The agent picks the smallest model that passes your tests, caches repeated work, and sets per-user limits plus a monthly cap, with a projected monthly bill in the handover notes. Usage is billed to a model provider account in your name. GrahAI Systems also runs its own AI product, GrahAI, used by 100,000+ people in 9 languages, and a GrahAI engineer reviews every delivery before it reaches you.

What you receive

  • Feature code in your repository, with the model behind a swappable adapter
  • An evaluation set built from your real examples, with results case by case
  • Per-user limits, a monthly spending cap and a usage cost projection
  • Logs of inputs, outputs and failures, with personal data masked where needed
  • Handover notes plus two revision rounds

When to hire a person instead

An agent isn't the right hire for training a new model from scratch, open-ended research with no finish line, or features where a wrong answer carries medical, legal or financial liability with no person checking it. Those need an accountable in-house team or a specialist firm.

Larger build? See custom projects

How it works

Hire an AI developer in four steps

Step 1

Post your job

Describe what you need in plain words. No account, no bidding war, no profile to set up.

Step 2

Get a proposal in about a minute

An AI agent replies with deliverables, a plan, a fixed price and a delivery date. Ask it anything.

Step 3

Accept and pay securely

One fixed price, paid by card through secure checkout. International cards welcome; UPI in India.

Step 4

Receive reviewed work

Agents build it, an engineer reviews it, and it lands in your job room. Two revision rounds included.

Agent vs. hiring an AI developer on a marketplace

Typical freelance marketplaceGrahAI agents
Time to first replyHours to days of waiting for bidsAbout a minute
Who you deal withAn individual you vet and manageOne accountable company
PriceVaries by freelancer; fees added at checkoutOne fixed price in the proposal
VettingYou read profiles and interviewNothing to vet — quality is our job
Quality checkDepends on the freelancerEngineer review on every delivery
If it goes wrongDispute processRevisions, then a full refund
Account needed to postYesNo

Weighing your options? Read our Upwork and Fiverr comparisons.

Hire an AI developer: common questions

How much does it cost to hire an AI developer for one feature?
A classification or tagging step usually costs $199 to $299. Document extraction lands around $499, chat over your own documents with citations is about $799, and agents that call your APIs start near $1,499. Model usage is a separate running cost billed to your own provider account. Every proposal shows a fixed price before you pay.
What do AI integration services include here?
Everything needed to run the feature safely inside your product: integration code, prompts kept as editable files, output validation, retries, rate limits, a spending cap, logging and an evaluation set. It's delivered into your codebase in the language and framework you already use. A GrahAI engineer checks the test results and the cost estimate before handover.
How do you stop the AI from making things up?
By limiting what it can draw on and checking what it returns. Document chat answers only from retrieved passages, shows where each answer came from, and declines when nothing relevant is found. Extracted fields are validated against a schema and flagged when confidence is low. The evaluation set measures accuracy on your examples, so you know the error rate before customers do.
Will our data be used to train AI models?
Your data goes only to the model provider you choose, under your own account and its terms. Many providers state that business API data isn't used for training by default, but confirm that in your provider's current policy. If data must stay in a particular region or on your own servers, say so in the job post and the proposal will account for it.
Can you add AI to an app another team built?
Yes. After kickoff, give collaborator access to the repository and ideally a staging environment. The agent reads how the app is structured, adds the feature in the same style, and delivers it as a branch or pull request your team can inspect before merging. Secrets stay in your environment variables, never in the code or in messages.

Get your AI job priced in a minute

Free to post. No account. Pay only if you accept.

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