Hire an expert AI-native engineer

How it works

From your brief to an engineer in your Slack, without sales calls and long-term contracts

1
Send your project brief <1 minute

Submit a short form
2
Get your match in 48 hours

Get candidates with their hourly rate and demo
3
Run a trial task 2 days for $7

Validate a candidate output on an ambitious task

You save $480 of work at the normal rate
4
Onboard your engineer no contracts

Add your engineer to Slack and work with them like a full-time hire

100+ engineers

A tight network, not a marketplace. Everyone has production experience behind them

6 years of experience. Built 10+ projects. Delivered as a Dev Lead and solo builder. Last project: agentic investment platform.

Xeniya

3 years of dev experience. Last project: solo-built a Fintech mobile app on top of Stripe.

Egor

9 years of experience. Worked in a big team of 10+ engineers. Last project: freelance platform with fintech tools.

Blog

How to build a Slack Agent with Mastra

Egor · September 15

Tutorial

How to ship faster and automate your dev process with AI

Nastya

and 90+ more

Developers Designers Product managers Marketers QAs

Node.js

Python

PostgreSQL

Supabase

React

Vercel

Cloudflare

A note from our CTO

Who is an AI-native engineer?

AI-native engineer is a full-stack product developer who plans, designs, builds and presents features, all with the help of AI agents.

Shipping a feature used to be a relay. A PM wrote the spec, a designer drew the screens, 2 engineers split the work, QA found what broke. 4 handoffs, and most of the calendar spent waiting in the gaps between them.

An AI-native engineer closes those gaps. With Claude Code, Codex or Lovable in their hands, one person writes the spec, designs the screen, builds both ends of it and tests it.

You get one person you can point at a problem, not a team to coordinate.

Igor Krasnik CTO, Paralect

Every engineer is proven to ship complex projects

We ask each candidate to build and present a complete full-stack MVP project

Landing page

Positioning, copy and a page that converts

Web App

The working product, not a clickable mockup

Backend

Auth, Stripe, APIs and the jobs behind the screens

Database / RAG

Real schema, real retrieval, real data

Our CTO interviews each candidate

Before an engineer ever reaches they are interviewed by Igor, Paralect’s CTO. 15 years building software, 200+ engineers led, 2 Product of the Day wins on ProductHunt

Igor · CTO

Sergey · AI-Native Engineer

Technical knowledge

Can explain what was built and why it works that way

Product mind

Has shipped products people use, not closed tickets

Clear thinking

Takes an open problem apart and says what comes first

Empathy

Works well in a team and understands customer pains

Chat directly with your engineers in Slack

No account manager sitting between you, no status calls to book. They are in your channel, posting what shipped today, like any other full-time hire

# acme-x-paralect

Alex AI-Native Engineer 09:40

Starting on the onboarding flow today. 2 questions on the invite email, dropping them in the channel.

Ilya AI-Native Engineer 15:20

Here's a QA report for the last month:

You 16:02

Nice. Push the eval numbers into the doc and let us cover billing pages next.

Get product updates you're proud to publish

Turn updates from your engineers into public content: social media posts, help center and articles

Sergey Orsik

@orsik_sergey

here's how you can chain tools together in Fireprompts now you don't have to run multiple tools and switch between them

Ilya Berezhniak · 1st

Full-Stack Developer · React · Next.js · Node.js/NestJS · TypeScript | AI ...

1mo ·

Queues used to mean standing up infrastructure. Now some of them are just an HTTP call. Kafka and RabbitMQ still make sense when you need real throughput or flexible routing — but they're a service you now own, monitor, and scale. SQS gets you a managed queue with zero ops, if you're fine living inside AWS. BullMQ turns the Redis you already run into a job queue in a few lines. Then there's the newer wave: Inngest and Trigger.dev let you write a function and get durable, retryable, multi-step execution — no queue, no worker, no infrastructure to deploy. Upstash's QStash goes further and makes the queue itself just an HTTP endpoint you POST to. None of these are most people's first instinct yet. That's exactly why they're worth knowing before they become the default. Seven platforms, what each one actually trades off, on the slides. 👇 #SoftwareEngineering #SystemDesign #BackendDevelopment