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Magicshot.ai · AI Image, Video & Audio Platform

85+ AI tools live — with engineers who could keep pace as models changed weekly

Magicshot.ai — the all-in-one AI creative studio, with 85+ tools across image, video, photoshoot, photo editing and audio, used by 500K+ creators

The problem

Magicshot.ai runs an all-in-one AI studio: image generation, UGC video, headshots, product photography, and dozens of other tools. Model APIs update constantly. The founding team needed senior engineers who could integrate new models fast without breaking credit billing or the community gallery.

How we ran it

  1. 01

    Scope the generation stack

    Walked the credit billing, model routing, and gallery constraints before anyone touched production. The match brief was inference + product, not a generic React hire.

  2. 02

    Match full-stack and ML-adjacent engineers

    Candidates had already shipped LLM or image-generation work. Live coding covered API fallbacks and cost, not a leetcode puzzle.

  3. 03

    Paid trial on a real model swap

    First week was a live integration — new model in, billing intact, gallery still serving. Output decided the placement, not a take-home.

  4. 04

    Own pipeline while founders grow

    Placed engineers stayed on the generation pipeline, credits, and dashboard month-to-month as models changed weekly.

The team we placed

We placed vetted full-stack and ML-adjacent developers on the product. They owned the generation pipeline, credit system, and web dashboard while the founders focused on model partnerships and growth.

Developers placed

4 developers placed

Senior full-stack · ML-adjacent / LLM engineer

How we worked

Embedded on their team

Month-to-month

Tech stack

  • React
  • Node.js
  • Python
  • Claude
  • OpenAI API
  • Cursor
  • Gemini
  • AWS
  • Stripe

The outcome

The platform now serves 500K+ creators across 85+ tools, with 50M+ images and 8M+ videos generated. New AI features ship on a regular cadence without the overhead of a 20-person internal engineering org.

Creators
500K+
Images generated
50M+
AI tools live
85+

Why it worked

  • Engineers who had shipped inference in production, not demo wrappers.
  • Trial week ran against a real model change, so a mismatch showed up before a long contract.
  • Founders kept partnerships and growth; the placed team owned the pipeline.
  • 500K+ creators and 85+ tools live without a 20-person internal org.

“Hiring.co kept us staffed with engineers who actually understand inference pipelines — not just React wrappers.”

— Vikas Sharma, CTO, Magicshot.ai

Hire for this kind of build

Magicshot.ai was staffed with the roles below. Each page covers how we vet for that stack, typical rates, and who is available now.

Need results like Magicshot.ai?

Same vetting process, same month-to-month terms. Tell us what you are building.

Book a Call

NDA before anyone gets repo access. Chloe Reynolds stays on the account. How it works.