Jetty Forge doesn't find AI talent. We forge it.
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Why Middle Managers Are Killing Your Company's AI Future
Every engineer in our network has shipped real production AI on real products with real users. Not bootcamps. Not LeetCode. Not toy projects. The exact work — LLM cost optimization, context and memory architecture, data pipelines — that your team is still trying to figure out.
The Real Problem
There is a class of people inside every major company — pedigreed hires, IIT graduates who interview brilliantly, career managers with the right logos on their LinkedIn — who got in because they know how to signal the right things. And once they're in, they do one thing above everything else: they protect their position by controlling who gets through the door.
They block founders from getting hired because founders make them look unnecessary. They block raw talent from getting through because raw talent is harder to manage — and makes them look replaceable. They present curated reports upward, take credit for outcomes that would have happened anyway, and make sure the CEO never sees the full picture.
"It's like taking credit for YouTube's growth during the algorithm era. Anybody could have grown YouTube then. The question is: what happens when the tailwind stops and you actually need someone who can build?"
— Ajay Jetty, Founder, Jetty Forge
The CEO thinks things are going well. The manager is comfortable. The dashboards look fine. And the company is quietly falling behind — because the people who could actually build the future never got through the door. They were filtered out by someone whose entire job depends on them never getting in.
I lived this. I hired an IIT graduate who spent his first month trying to manage my best programmers instead of writing code. He had the pedigree, the confidence, the vocabulary. He could present beautifully. But he couldn't build. And worse — he was actively slowing down the people who could. That's not a hiring mistake. That's a structural failure of how companies evaluate talent.
Average loss: $17,000 per bad hire. For senior AI engineers, the real cost is $400K–$600K when you count lost runway. — CareerBuilder, 2024
Not because the talent doesn't exist. Because the people doing the hiring can't recognize it. — ManpowerGroup, 2026
Companies need production-ready AI builders. But their hiring process selects for people who are good at being hired. — Second Talent, 2026
And on the other side of this wall: the founders. The people who've actually built something. Who've shipped products under real constraints, managed chaos, made decisions with incomplete information. When they try to re-enter the job market, corporate recruiters see "Founder" on a resume and think: too independent, won't follow process, not a team player. A Fortune study confirmed it — corporate recruiters have a documented, measurable bias against ex-entrepreneurs.
The people most qualified to build the future of AI are being systematically rejected. Not by the CEO. Not by the CTO. By the middle manager whose job it is to make sure they never get to the CEO.
Jetty Forge exists to end this. We bypass the gatekeepers entirely. We go directly to the raw talent — the engineers from VIT, Manipal, triple-IITs, and colleges nobody's heard of who are building production AI in their spare time. We forge them under real conditions. And we place them directly with the CEOs and founders who are ready to stop hiring the people who present well and start hiring the people who build well.
"We are the new gatekeeper. Not the HR managers who've never shipped anything. Not the middle managers protecting their position. Us — the people who've done the work, who know what production AI looks like, and who will negotiate the best deal these engineers have ever seen. Because they deserve it."
— Ajay Jetty, Founder, Jetty Forge
The Jetty Forge Process
The Forge is not a checkbox. It's a crucible. We designed it to be harder than most companies' entire hiring loops — because the engineers who make it through are the ones worth placing.
Every engineer in our network has completed all five stages. Every single one. There are no exceptions for impressive resumes, prestigious colleges, or famous previous employers. The work is the proof.
of applicants complete all five stages. The rest are returned to the market. We keep only the ones who prove it.
Real-world AI problem sets designed by the founder — not LeetCode, not toy problems. Candidates solve the exact challenges that production AI teams face: RAG architecture, prompt optimization, cost reduction under constraints. Most candidates don't make it past this stage.
Deep-dive sessions with domain experts. We probe AI/ML fundamentals, system design for LLM applications, and the candidate's actual reasoning process — not their ability to memorize answers. We want to see how they think, not what they've rehearsed.
Unscripted, observed problem solving under pressure. We watch how they think, how they debug, how they communicate. The best engineers are calm, methodical, and creative when the stakes are real. The rest fall apart.
Values, communication style, startup vs. enterprise alignment. We assess how they handle ambiguity, feedback, and failure — because technical skill without character is a liability, not an asset. This is where founder-minded engineers shine.
A paid 2-week engagement on a real project with real users. This is the final filter. They deliver. They communicate. They prove they can do the job — before you commit to hiring them. No surprises. No ramp time. Just proof.
Who We Serve
"You're spending 40% of your time on hiring. You've made three AI hires in the last year. None of them shipped anything that mattered. Your board is asking why your AI roadmap is six months behind."
Submit one request. Get 1–3 hand-picked engineers within 48 hours. Every one of them has already shipped the kind of AI you're trying to build. You never think about this again.
"Your team is blocked. The engineers who can actually build production LLM systems are invisible on LinkedIn, and the ones who are visible have 47 competing offers from companies with bigger brand names than yours."
Access engineers who've already solved the problems your team is stuck on. No ramp time. No surprises. They walk in on day one and start shipping.
"You have 18 months of runway and no time to run a hiring process. Every week without the right AI engineer is a week your competitor gains ground. You need someone who can own the entire AI stack from day one."
We move in days, not months. Forge-certified engineers are ready to plug into your stack immediately. Full-time, contract, or managed — whatever your runway demands.
"You've built a company. You've shipped real products. You've made decisions that most engineers will never face. And corporate recruiters keep filtering you out because your resume says 'Founder' instead of 'Senior Engineer at Google.'"
Jetty Forge was built for you. Your pedigree doesn't matter here. Your work does. We place founder-minded engineers with companies that actually want builders — not people who know how to pass interviews.
Engagement Models
We don't force you into a model. We find out what you need and make it work. Full-time, contract, managed — whatever removes the most friction for your company. The only thing we don't do is compromise on the quality of the talent.
We place a Forge-certified engineer directly at your company as a full-time employee. They've already proven they can do the job. No ramp time. No surprises.
Access elite AI talent for a defined period — a product sprint, a critical build, a proof of concept. Flexible, fast, and fully vetted.
We don't just place talent — we manage it. Get a dedicated AI team with the founder's oversight, so you never have to worry about performance, direction, or output.
"The engineers who will define the next decade of AI are not on LinkedIn. They're in our network. And the companies that want them will have to come to us."
Insights on AI talent, the future of building, and what the top 0.1% are shipping right now. No noise. No spam. Just signal.