Skip to content

Hire AI automation engineers
who know what not to automate.

PixelCrayons is your point of contact for hiring an AI automation engineer. We scope the role, write the proposal and supply the specialist, or a small team. They build workflows in n8n, Zapier-style tools, or custom scripts when no-code tools run out. They put a person's check in front of anything that cannot be undone, instead of promising to remove people. Each engineer is vetted on real workflow builds before they touch yours. They work inside your tools and stand-ups, and you can scale up or down monthly without a hiring cycle. You interview the engineer who would build the workflow before anything is signed.

Interview before signing · One contact throughout · Scale monthly

Three digital specialists

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.

Upasana Singh DabasUddita Sharma

Upasana or Uddita replies, typically within four business hours.

You see the plan and the price first. Nothing starts until you say so. NDA on request.

Privacy

Your details go to the person who replies, nowhere else. Privacy policy.

What you get

PixelCrayons is your point of contact for hiring an AI automation engineer. We supply the specialist under one proposal. They build in n8n, Zapier, Make or custom scripts. Errors are flagged loudly, and a person checks anything that cannot be undone. You interview the engineer first and resize monthly.

  1. Vetted on real workflow buildsEvery specialist has built and maintained live automations, vetted against our own delivery standards.
  2. One point of contact for everythingPixelCrayons handles scope, proposal, escalation, billing and status, and answers for the workflows.
  3. Working inside your teamYour Slack, your stand-ups, your systems and access controls, not requests thrown over a wall.
Our work

See what we've built
and the results it brought.

Real projects for real clients, with results we can show.

All case studies →
Technologies we work with
Commerce and web
  • Shopify
  • WooCommerce
  • Magento
  • WordPress
  • Webflow
  • Next.js
Marketing
  • Google Ads
  • Meta Ads
  • GA4
  • Klaviyo
Cloud
  • AWS
  • Microsoft Azure
  • Google Cloud
AI models
  • OpenAI
  • Anthropic
  • Google Gemini
Build and deploy
  • Docker
  • Kubernetes
  • Terraform
  • GitHub Actions
CRM and automation
  • HubSpot
  • Salesforce
  • Zapier
  • n8n

Product names and marks are trademarks of their owners. Naming a technology means our teams build with it. It does not mean a partnership, certification or endorsement.

What they cover

AI automation skills
with clear limits on what runs alone.

This is not someone who sets up a Zap and calls it done. An AI automation expert also decides what shouldn't run without a person watching. Then they build that check instead of skipping it.

Automation platforms

  • n8n: self-hosted workflow builds, with custom nodes when the built-in library runs out
  • Zapier and Make-style no-code tools, chosen when your team needs to edit the workflow after handover
  • Custom scripts in Python and Node when a no-code tool can't do the job
  • API connections across the tools your team already uses, with no platform move needed
  • Picking the right tool for the workflow, not the one that demos best

Workflow design

  • Multi-step business processes, mapped from trigger to final action before anything is built
  • API and webhook connections that pass work between systems never built to talk to each other
  • Error handling and retries that show a failure instead of hiding it
  • Safe repeats: a trigger that fires twice should not take the action twice
  • Mapping the exceptions first, because the smooth path is the easy half of the build

Checks, notes and handover

  • A person's approval before anything that cannot be undone: the line we design around, never past
  • Notes written so a non-technical team can maintain the workflow, not just admire it
  • Monitoring and alerts, so a silent break is caught the same day, not months later
  • Clear reports on what ran on its own, what needed a person, and why
  • Handover of the workflow under agreed ownership terms, not a black box with a support contract
In practice

Where an automation engineer's
week actually goes.

Most of the job happens before and after the build, not inside the workflow editor.

Mapping comes before building

Expect the first days of any new workflow to look slow. The engineer sits with whoever does the task by hand today. They write down every step, including the ones nobody mentions. That might be the spreadsheet someone checks on a Friday, or the customer who always needs a different invoice format. Then comes the build, usually the shortest part. The rest of the week goes on testing with real records and reading run logs. They fix the step that failed overnight and update the notes. If you only ever see finished workflows and never a map, ask to see the map.

Interview signals worth listening for

Give the candidate a workflow you actually run. For example, a new lead arrives from a web form, lands in your CRM and gets a welcome email. A strong engineer asks what happens when the same lead submits twice, or when the CRM is down. They also ask who gets told when a step fails. A weak one names the tools and starts sketching nodes. Ask about a workflow of theirs that broke once live, and what they changed afterwards. Specific answers about retries, duplicate records and too many alerts are a good sign. Vague answers about "AI doing the work" are not.

What to have ready on day one

Automation stalls on access more often than on skill. Before the first session, list the systems involved. Arrange API keys or service accounts for each. Ideally, don't tie them to one employee's personal login, because those break the day that person leaves. Decide who owns each workflow on your side. Decide who approves anything that sends, charges or deletes. Set up a sandbox or test account where one exists. Gather a handful of real, messy examples of the inputs. Clean sample data teaches the engineer nothing about the cases that will break the workflow.

When this is the wrong hire

If the process itself is broken, automating it makes the same mistakes faster. An engineer can point that out. But redesigning how your team works is an operations decision, not a build task. The same goes for problems with data quality: a CRM full of duplicates needs a cleanup first. You may need a custom model trained on your own data, or an AI product for customers. Then you need a machine learning or product engineering hire instead. Automation engineers connect systems and move work between them. They are not there to invent the system.

How it works

How hiring works,
with one contact throughout.

Start

Brief and a call

We sign an NDA, and you describe the workflows, the tools and the volume to PixelCrayons.

Once the brief is complete

Proposal and interview

We confirm when your proposal will arrive. We propose the specialist whose automation builds fit. You interview the engineer 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 work starts

Access is granted and the systems are mapped. They join your stand-ups and start the first workflow-mapping session.

Every month

Scale up or down

Add a second engineer when the automation backlog grows, and step down when it doesn't. You resize monthly through the same PixelCrayons account team.

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:
the engineer and the checks behind them.

PixelCrayons scopes the automation hire, supplies the engineer and manages your account. You get one contact and a well-matched specialist, and it is always clear who answers for the work. We also say no to automations that shouldn't be built.

Vetted on real workflow builds

Every specialist we propose has built and maintained live automations before yours. They are vetted against our own delivery standards. A whiteboard exercise shows how someone talks about retries. A workflow that failed once live and kept running shows whether they can build them.

One point of contact for everything

PixelCrayons scopes the automation role and writes the proposal. As your one account team, we then handle escalation, billing and status. You sign with PixelCrayons, and we answer for every commitment in the proposal for as long as the work runs.

Working inside your team

Your Slack, your stand-ups, your systems, your access controls. Dedicated means working the way you already work. Requests are never thrown over a wall and returned as a finished black box.

Quality checks you can see

Every check is written down and every automated action is logged. A non-technical teammate can read and maintain the workflows after handover. Wonder what a workflow does when it meets something it wasn't built for? The notes answer before we do.

Side by side

Hiring on your own,
compared with hiring through us.

An in-house hire is worth it once your workflow backlog is permanent and keeps one person fully busy. We'll tell you plainly if that is where you are. Most automation needs start smaller than that.

Hiring it yourselfThrough PixelCrayons
Time to a working specialistA full recruiting cycle of sourcing, interviews and notice periods, then time to learn your systemsA shortlist and an interview before anything is signed
VettingA CV and a technical interview; you find out if the workflows hold up once real data flowsA track record on real automation builds, checked against our own delivery standards
Management workAll yours: recruiting, then reviewing every workflow before it goes livePixelCrayons' account team handles day-to-day contact and escalation; you set the workflow priorities, not the admin
ScalingA new hiring cycle each way: months to hire, severance to let goResize monthly: add an engineer or step down with a conversation
Risk when it doesn't workA poor hire slows you down until it's noticed, then a difficult exitIf the fit is wrong, we propose someone else; leaving takes a handover call with workflow notes, not a negotiation
Who is accountable

The people responsible
for your work.

Leadership and how we’re built →
Parvessh Agarwal

Parvessh Agarwal

Founder & CEO

An entrepreneur at heart. He links business analysis, strategy, clear goals and ROI to practical technology.

LinkedIn →
Saundaraya Gupta

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.

Full terms →
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 terms

Clear IP & Ownership Terms

Your materials remain yours. Bespoke deliverable rights, licences and handover are agreed before work starts.

All engagements.

Full terms

Clear 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 terms

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 an automation engineer
and what to ask them.

We vet against our own delivery standards before anyone is proposed. In your interview, these tests show who builds for failure and who just sketches nodes.

What to testWhat to askRed flag
Exceptions firstTake a workflow you run today. A lead arrives from a web form, lands in your CRM and gets a welcome email. Ask them to talk it through.They name the tools and start sketching nodes. They never ask what happens when the same lead submits twice, or who hears when a step fails.
Failures they have lived throughAsk about a workflow of theirs that broke once live, and what they changed afterwards.Vague answers about AI doing the work, with nothing on retries, duplicate records or too many alerts.
What stays manualName a step in your process that cannot be undone, such as emailing a customer list or changing live prices. Ask how they would build around it.No review step at the point where a mistake becomes hard to undo.
Tool choiceAsk whether your workflow belongs in a no-code platform or in custom code, and why.One favourite tool for everything. A good answer starts from who edits the workflow after handover, how reliable the connectors are, and volume.
Knowing when not to buildDescribe a process you know is broken, or a CRM full of duplicates, and ask where they would start.They start building. A good answer says the process or data needs fixing first. Redesigning how your team works is your operations decision, not a build task.

This role carries no trial. Before the first build is scoped, expect a written review of the target workflow that lists its exceptions. If the fit is wrong, we propose someone else.

Questions

Frequently
asked.

The automation engineer comes from our Vinove group engineering team. You interview them before anything is signed. PixelCrayons scopes the role, writes the one proposal and is your contact throughout. You sign with PixelCrayons, and we answer for every commitment on this page for as long as the work runs.

We typically reply within four business hours. Once we have a complete brief, we confirm when your proposal will arrive. You interview the specialist before anything is signed. Eligible work can typically start two to three business days after scope, payment and required access are confirmed. If your workflows aren't mapped yet, mapping comes before anything runs on its own.

It starts with an NDA, then system and API access. Next comes a review of the target workflow and a written summary of what they found. That includes the exceptions, not just the smooth path. Once you agree the first build's scope, they join your stand-ups. The work ships inside your process, not alongside it.

We won't fully automate anything that cannot be undone, where a mistake is costly. Examples are emailing a customer list, changing live prices or publishing content. Here, one rare bad result going out unchecked matters more than average accuracy. So we add a review step at that one point. A person owns the moment it can no longer be undone.

It depends on the workflow. No-code is usually right when your team needs to edit the workflow after handover. It also fits when reliable connectors already exist. Custom code is worth the cost when the logic is complex or volume makes per-task pricing expensive. It also helps when no connector reaches your system.

It gets caught, because monitoring and alerts are part of the build. Errors are designed to show up loudly. A workflow that meets something it wasn't built for sets the item aside and flags it, rather than guessing. Every automation comes with notes your team can maintain, so a fix doesn't need the original engineer.

Interview your automation engineer
before you sign anything.

Tell PixelCrayons about the workflows and your tools. We scope the role and stay your point of contact throughout. We supply the specialist under one written proposal. Then you meet the actual specialist before anything is signed. If a workflow shouldn't run on its own, we'll say so on the first call, not after it's built.

Reply within four business hours (typical) · Interview before signing · Scale monthly

Last updated