Parvessh Agarwal
Founder & CEO
An entrepreneur at heart. He links business analysis, strategy, clear goals and ROI to practical technology.
LinkedIn →Hire generative AI developers
for features that write, summarise and create.
Generative AI makes new text, images or code from a request. A developer builds that into your product, for example drafting product descriptions, summarising documents or answering in your brand's voice. Many of these features run on OpenAI's models; others suit Anthropic or open models. PixelCrayons scopes the role and writes the proposal. We then find and supply the developer. You interview them before anything is signed.
Interview before signing · One contact throughout
Tell us about the role
Start Your Enquiry
Send a short brief. Once we have a complete brief, we confirm the date you will receive your itemised proposal.
What you get
Hire a generative AI or OpenAI developer through PixelCrayons, with one point of contact. We find a developer who has shipped generation features in live products. They test the output on your real content and add review steps where it matters. You interview them before signing. One account team handles escalation, billing and status.
- Vetted on generation features in live productsEvery developer we propose has shipped a generation feature, vetted to our delivery standards.
- One point of contact for everythingPixelCrayons scopes the role and handles escalation, billing and status. Our developer builds the feature.
- Honest advice on the right routeYou hear early if a chatbot, a knowledge base or a scoped project fits better than a hire.
Our work
See what we've built
and the results it brought.
Real projects for real clients, with results we can show.
2004
Established
500+
Agencies served
4,500+
Projects delivered
340%
Revenue growth · 7 months
eCommerce
+127%
Organic traffic · 5 months
SaaS
85%
Faster delivery · backlog cleared
via agency partner
Where the work happens
What they cover
Generative AI developer skills
for output your customers will see.
Each developer is vetted on generation features in live products, not only demos. Each one is matched to your gap.
Building generation features
- Connecting OpenAI, Anthropic and open models to your product through their APIs
- Text features: drafts, summaries, rewrites and replies in your brand's voice
- Image generation and editing inside your own workflow
- Structured output, such as JSON, that the rest of your app can store and trust
- Choosing a model on quality, cost and speed for each feature, not one model for everything
Keeping output reliable
- Test sets built from your real content, scored before every release
- Review steps, so a person approves output before it reaches customers where it matters
- Filters for content your brand must never publish
- Spending limits and caching, so costs follow real use
- A plan for when a provider is slow, down or changes a model
Working well with your team
- Working inside your product, content tools and access rules
- Agreeing with your editors which content stays human-written
- Pointing you to a chatbot or knowledge base build when that fits better
- Notes that let another engineer maintain the feature after handover
- Clear reports on output quality, cost and what still needs a person
In practice
What a generative AI developer
does after the first good result.
Practical notes for briefing, interviewing and working with the person who builds your generation features.
Most of the work is checking output
Getting a good result once is easy. Getting good results every time is the job. The developer builds test sets from your real content and scores each change against them. They tune instructions and examples for your brand's voice. They add review steps and filters. They also track cost per request. Expect more time on testing than on clever prompts.
Interview questions that show real experience
Ask the candidate about a generation feature they shipped, and the worst output it produced after launch. Strong candidates name a real case, such as an invented fact or a tone that was off for the brand. Ask how they caught it and stopped it happening again. Then ask how they measure quality between releases. A good answer names a test set and a way of scoring it.
Have your content and your rules ready
Before the first day, gather good examples of the content you want, and a few bad ones. Write down your brand's voice rules and the things you must never say. Decide who holds the provider account, such as OpenAI, and set a spending limit. Agree which content needs a person's approval before it goes out. Settle these early and the first week goes on building.
Why generative AI features go wrong
The common failure is shipping without a way to measure quality. Output drifts and nobody notices until a customer does. The second failure is no review step where one was needed, so a wrong claim goes live. The third is one expensive model for every task. Write down what good output looks like, what must never appear and who reviews it.
When this is the wrong hire
If you need answers drawn from your own documents with sources, a RAG and LLM engineer fits better. If the task is moving data between tools, a workflow automation engineer is simpler. If you need a model trained on your own data to predict or classify, hire a machine learning engineer. This hire works best when you know what the content is for.
How it works
How hiring works,
with one contact throughout.
Start
Brief and a call
We sign an NDA, and you talk PixelCrayons through the product, the content and the gap.
Once the brief is complete
Proposal and interview
We confirm when your proposal will arrive. We name the developer whose track record fits. You interview them directly before anything is signed.
Your decision
You sign off
You confirm the scope, the payment and the access we need. Nothing starts before this.
Typically 2 to 3 business days later
The developer starts
Once they have code and API access, they review your product and content and join your stand-ups.
Every month
Scale up or down
Add a specialist when the feature needs one, or step down once it ships. The same PixelCrayons account team handles it throughout.
You make requests, give approvals and see the weekly review in your Prism workspace. Each decision is written down with the result it was meant to bring. See how Prism runs the work →
Get a Proposal
Meet the people who will do the work before you sign
Why through us
Why hire through us:
one contact and the right developer.
PixelCrayons defines the role, supplies the developer and manages your account. You deal with one contact and get the right builder. It is always clear who answers for the output.
Vetted on generation features in live products
Every developer we propose has shipped a generation feature in a live product before yours. They are vetted against our own delivery standards. A demo shows the best output. A track record shows what happens with the worst.
One point of contact for everything
PixelCrayons scopes the generative AI role and writes the proposal. One PixelCrayons team then handles escalation, billing and status. Our developer builds the feature.
Honest advice on the right route
You hear early if the job needs a different specialist, such as a RAG engineer. You also hear if it is really a scoped project for our generative AI development service. We never stretch a hire to cover work they can't do.
One company answers for the work
You sign with PixelCrayons, and we answer for every commitment in the proposal. That holds for as long as the work runs. It stays clear who answers for the feature long after it goes live.
Side by side
Hiring on your own,
compared with hiring through us.
An in-house hire is worth it once generative AI becomes core, ongoing product work. We'll tell you plainly if that is where you are. Most generation features start smaller, or fit a scoped project better than a hire.
| Hiring it yourself | Through PixelCrayons | |
|---|---|---|
| Time to a working feature | A full recruiting cycle of sourcing, interviews and notice periods, then a prototype that isn't ready for customers | Eligible work can typically start two to three business days after scope, payment and required access are confirmed |
| Vetting | A demo with good examples. Poor output shows up after launch | A track record on generation features in live products, checked against our own standards |
| Management work | All yours: recruiting, then checking every kind of output the feature can produce | PixelCrayons' account team handles the day-to-day contact; you review the work and set priorities |
| Number of suppliers | However many agencies or freelancers it takes to cover the gap | One proposal and one point of contact, whichever developer is assigned |
| Risk when it doesn't work | Output quality drifts and nobody notices until a customer does | If the fit is wrong, we propose someone else; leaving takes a handover call with notes, not a negotiation |
Who is accountable
The people responsible
for your work.
Saundaraya Gupta
Technical Manager
Brings technical work, client updates and project management together, so work moves smoothly from brief to launch.
LinkedIn →Every engagement
A named coordinator and escalation contact
Know who coordinates your engagement, who owns the work and how to escalate an issue.
All engagements. Roles may be combined and vary with your engagement.
Before you sign
Our commitments
Each one says where it applies and links to its full terms.
Time-zone overlap
At least four hours a day inside your core working hours. Two hours plus a daily written handover for the US West Coast.
Managed specialists only; not a staffing promise for project teams.
Full termsClear IP & Ownership Terms
Your materials remain yours. Bespoke deliverable rights, licences and handover are agreed before work starts.
All engagements.
Full termsClear Delivery & Escalation Ownership
Know who coordinates your engagement, who owns the work and how to escalate an issue.
All engagements. Roles may be combined and vary with your engagement.
Full termsWhy not just hire a freelancer?
A freelancer can be the right choice for a single, well-defined task. We are set up for work that needs an accountable team: a named coordinator, delivery reviewed by QA and a senior lead before release, and continuity arrangements written into the engagement. Confidentiality, ownership and escalation terms are agreed in writing before work starts.
How does time-zone overlap work?
Your engineers work at least four hours a day inside your core working hours. We set the window with you before the engagement starts and hold it for as long as the engagement runs. For the US West Coast the live overlap is two hours each morning, with a written handover at the end of every Indian day. We do not run night shifts: engineers who work nights leave quickly, and keeping the same people on your team matters more to us than a longer overlap.
Can we try you before we commit?
For eligible managed specialists, yes: up to 14 calendar days or 80 logged working hours, whichever comes first. Stop within it and eligible trial hours are free; continue and they're billed at the agreed rate. Unpaid trial work stays ours. Project work and other roles get a paid pilot with scope, acceptance criteria, duration and fee agreed first.
What if we want to stop?
Cancellation, notice and any renewal terms are written into your proposal or statement of work before you accept it. If an engagement ends early, we hand over completed, paid-for work and list any unfinished work separately. For an eligible specialist trial, you can stop within the trial window and pay nothing for eligible trial hours.
How we handle claims, credentials and your data: group credentials, dated ratings, how case figures are signed off, client permissions and data handling.
How we vet
How we vet a generative AI developer
and what to ask them.
We propose developers vetted on generation features in live products. Your interview is the second check. These five questions show whether a candidate ships reliable output or only good demos.
| Ask about | A strong answer | A weak answer |
|---|---|---|
| A generation feature they shipped, and its worst output after launch | A real case, such as an invented fact or an off-brand tone, and how they stopped it happening again. | The launch, and nothing after it. |
| How they measure quality between releases | A test set built from your real content, and a way of scoring it. | Reading a few outputs and judging by eye. |
| Which model they would use, and why | A choice per feature on quality, cost and speed, with OpenAI, Anthropic or an open model. | The newest model, for everything. |
| What reaches customers without a person checking it | A clear line: low-risk drafts go straight out, claims and offers get reviewed. | Everything, once it looks good in testing. |
| When generative AI is the wrong tool | A RAG build when answers must cite your documents, or a template when the text never changes. | Never. Every feature can be generated. |
Answers that must quote your own documents usually suit a RAG and LLM engineer. A defined generative AI feature with an end date often fits our generative AI development service better than a hire.
Questions
Frequently
asked.
The developer you interview and work with comes from our Vinove group engineering team. PixelCrayons scopes the role, writes the one proposal and stays your contact throughout. You contract with PixelCrayons, and we answer for every commitment on this page.
Yes. Many generation features run on OpenAI's models, and the developers we propose have built with them. They also know Anthropic and open models. If another model suits a feature better on cost or quality, they will tell you and show you the test results.
It depends on what you need. A hire fits when you want a person joining your team over time. A defined feature with a clear scope and end date often fits our generative AI development service (/ai/generative-ai-development) better. We'll tell you on the first call which one fits.
One. You sign with PixelCrayons, and one account team handles the whole relationship. Escalation, billing and status updates all come through the PixelCrayons account team you signed with.
Tell us early, and we propose a replacement. The new developer gets the test sets, voice rules and notes the first one kept. So a switch costs days, not a restart.
Get one proposal
with the right developer for the feature.
Tell PixelCrayons about the product and the content you want to generate. We scope the role, supply the developer under a written proposal and stay your point of contact throughout. You interview the actual person before anything is signed. If a scoped project fits better than a hire, we'll say so on the first call.
Interview before signing · One account team
Last updated