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Hire an AI developer who ships working systems

Anyone can wire a chatbot to an API in an afternoon. A working system needs testing, guardrails and cost control. This page shows how to tell the difference before you hire.

Projects from $1,500$30 an hourFixed quote after a short call

350+ businesses served since 2018 · Offices in Pune, Coventry and New York

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In short

An AI developer builds applications on top of language models: assistants, agents, document tools and automations. Judge them on how they test answers, protect data and control running costs, not on demos. Liftup Technologies works from Pune at $30 an hour, with projects from $1,500 and a fixed quote within one working day of a short call.

What an AI developer actually does

Most business AI work today does not train new models. It connects existing models from providers such as OpenAI and Anthropic to your data and tools. The developer writes the instructions, retrieves the right documents, calls your systems, checks the output and handles failures.

Project typeCore skillsExample
Assistant over your documentsRetrieval, chunking, citations, access controlStaff answer questions from policy PDFs
Agent that takes actionsTool calling, permissions, approvals, loggingBooks a meeting or updates a CRM record
Document processingExtraction, validation, review queuesReads invoices into accounting software
Voice agentTelephony, speech, latency, handoffAnswers calls and passes hard ones to staff
Workflow automationAPIs, n8n or Make, error handlingRoutes leads and drafts replies

See how these fit together on our AI development page.

Tests that matter more than a portfolio

  • Evaluation. Ask how they measure whether answers are right. A serious developer builds a set of test questions with expected answers and re-runs it after every change.
  • Failure handling. Ask what the system does when the model is wrong, slow or unavailable.
  • Data privacy. Ask which data goes to which provider, what is stored, and how long. Check provider terms on data use and retention.
  • Cost control. Ask how they estimate token costs per request and cap them.
  • Human review. For anything that spends money or changes records, there should be an approval step.

Our LLM evaluation checklist gives you a starting framework, and the AI vendor evaluation checklist covers contract points.

Freelancer, agency, in-house or offshore

OptionStrengthRiskManagement effort
FreelancerQuick prototypes, low costLittle testing discipline, no coverMedium
AgencyMixed team: engineer, tester, project leadPricing premium; check who buildsLow
In-houseDeep knowledge of your dataHard to recruit; model changes quicklyHigh
Offshore teamLower hourly rate, wide skillsProcess and overlap hoursMedium

Whichever you pick, start with a small paid pilot against one real task. A two to four week pilot teaches you more than any interview. Our build vs buy AI guide helps if a ready-made tool might do the job.

Rather have us do this for you?A short call, a written plan and a fixed quote.

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Interview questions

  1. How would you test whether this assistant gives correct answers before launch?
  2. What do you do when a model makes up a fact?
  3. How do you stop one customer's data reaching another customer?
  4. Which model would you start with for this job and why? What would make you switch?
  5. How do you keep prompts, test sets and settings under version control?
  6. What will this cost per month at my expected volume?
  7. What would you leave out of the first version?

The last question is the most revealing. People who have shipped AI systems know what to cut.

Ownership and risk

Accounts with model providers should be in your name, with spending limits set. Code, prompts, test sets and logs belong to you. Avoid contracts that tie your data to a single vendor's platform without an export route.

Privacy laws vary by country and by the kind of data involved. Check with your lawyer or data protection contact before you send personal or sensitive data to any provider.

Ask for a short written note on how the system will be monitored after launch. Models change, data changes and customers ask unexpected questions. Someone should read a sample of real conversations every week at first, flag wrong answers, and add them to the test set. That habit is cheap, and it is what separates a system that improves from one that quietly drifts.

How hiring Liftup works

Liftup Technologies builds chatbots, agents, voice agents and automations using the OpenAI and Anthropic APIs and tools like n8n. We are headquartered in Pune, with offices in Coventry and New York, and we work remotely in your hours.

After a short call you get a fixed quote within one working day. One lead manages the build and you see a working demo every week. The rate is $30 an hour and projects start at $1,500. For ranges in the market, read our AI agent cost guide. See other roles on the hire page or contact us.

Sources: OpenAI platform documentation, Anthropic documentation.

Updated 6 November 2026

Questions, answered

Do I need an AI developer or a machine learning engineer?
For most business uses, an AI developer who builds on existing models is enough. Training custom models is a separate, rarer and costlier job.
Can a general web developer build AI features?
Simple features, yes. Anything that takes actions, reads private data or must be accurate needs someone who has handled testing and safety before.
How long does a first AI project take?
A focused pilot can be done in a few weeks. Production systems with integrations and testing take longer, and the schedule depends on data readiness.
What are the ongoing costs?
Model usage fees, hosting, monitoring and periodic updates when models change. Ask for an estimate at your expected volume.
Is my data safe with an AI developer?
That depends on the setup. Ask which providers see the data, what is stored and for how long, and keep accounts in your name.

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