Techolution
is an AI engineering firm that takes enterprises from lab-grade AI to real-world, ROI-generating AI. Founded in 2015 and headquartered in New York, we work with Fortune 500 clients across healthcare, banking, retail, manufacturing, and government. Our portfolio spans BPA 4.0, our enterprise AI platform, along with Gemini Enterprise onboarding, AI-Shore managed services, application and data modernisation, cloud transformation, conversational AI, and computer vision. What sets us apart is that we commit to outcomes rather than effort, delivering at a guaranteed price with a fixed-bid model that puts the R&D; risk on us instead of the client. We are growing fast at something genuinely difficult, and that is what makes it worth doing.

That means the people we hire are hard to hire. The roles are new, the skills are current, and the pool is thin. Most recruiters in this market cannot screen for them because they do not understand them well enough to know what to ask. There is no template for finding these people. Somebody has to build one.





This is a 6 months internship to hire with a FT conversion opportunity. Remote.

The mindset we need:
- If your instinct on hearing "we need to hire someone" is to open a job board, this will not work. The instinct we need is: what is this role actually for, what does failure look like, and what is the filter that catches it.
- Filling seats is not the outcome. Hires who perform is the outcome.
Those are different jobs and they have different processes.
- You will be corrected. Directly, and in one line.
We do not soften feedback here. We expect you to absorb it, tighten the next version, and move. If you need the correction wrapped in praise before you can hear it, the pace of this role will hurt.
- Data argues. Opinions do not.
Every filter we set has a traceable origin in something that went wrong before. We do RCA on bad hires and we redesign the screen. Bring evidence or bring nothing.
- Curiosity about technology is not

📌 Recruiter (India)
🏢 Techolution
📍 India