This is the only way into engineering at Olbrain. We don't hire laterally — the whole team grows through these batches, two a year, and the exceptional performers are retained full-time. There is no other door.
Think of this as a 6-month training program in agentic AI — except instead of classrooms, you're training on the real platform: Olbrain Studio, currently being deployed to agentify the entire business of a major enterprise client. Production access is earned, not handed out on day one — you work on the platform under review until your code clears our bar, and how quickly that happens is up to you. Once it does: your code ships. Your decisions matter. Your bugs hit real systems.
By the end of 6 months, you'll have hands-on experience in one of the most in-demand areas of AI today. Those who pass with flying colors get a PPO — a Pre-Placement Offer for a full-time Software Engineer role at Olbrain. Those who don't, still walk away with 6 months of real agentic AI experience that no classroom can give you.
This is an assessment internship. Its sole purpose is to evaluate candidates for a permanent Software Engineer role at Olbrain. We are not hiring interns. We are hiring future full-timers, and the 6 months is how we figure out who to keep. If you cannot — or do not intend to — join us full-time at the end of these 6 months, please do not apply. We don't have the bandwidth to train someone we'll lose anyway.
Still a student? The bar is intent, not timing. If you haven't graduated yet and can't formally join at the 6-month mark, the internship can extend to a year — for extraordinary candidates, even a year and a half — until you can. What doesn't flex is the destination: Olbrain, full-time.
Your college, degree, rank, medals, and certificates earn you zero points here. They were always stand-ins for ability, used because ability was hard to measure directly. It isn't anymore. Cognia scores the work itself, on our value system — MAD: Mastery (the depth of having actually built it), Ambition (the reach toward something that doesn't exist yet), Dominance (command over complexity). Each out of 100, averaged.
The bar is deliberately brutal — fewer than 2% of candidates clear it. We don't reveal scores — you'll never learn your number; clearing the bar shows up as exactly one thing, a shortlist for Round 2. You're allowed to use everything — ChatGPT, Google, a textbook, whatever you'd reach for on the real job. It's your name on the answers. Walk in from anywhere; the only thing that counts is what you can actually do.
Batch 1 (January–June 2026): 10 hired. 3 earned their PPO before the batch even ends. We don't grade on a curve, we don't pad numbers, and we don't keep people we wouldn't hire on merit.
This is how Olbrain grows its engineering team — two batches a year, starting 1 January and 1 July, ten seats each: paid training in agentic AI, with the exceptional performers retained full-time. If you miss this window, the next one opens 1 January 2027.
Olbrain Studio is an identity-native agentic AI platform. We don't wrap LLMs in rules to make them act like agents. We build the agent — a self, a will, and a purpose — and the LLM is the reasoning faculty woven through it. We build agency, not intelligence.
At the heart of the platform is Alchemist — the AI agent that builds and runs your entire enterprise agent fleet. Alchemist directs seven specialist sub-agents (Cortex, Synapse, Axon, Nexus, Helix, Lumen, Myelin) to discover workflows, build agents, deploy them, and govern the fleet. Enterprises talk to Alchemist in plain English. Alchemist does the rest.
Underneath it all is the Agency Protocol — the architecture that gives every agent a Core Objective Function (its purpose), a persistent identity (Coherence, Narrative Continuity, Exclusivity), and an Executive (its will). This is what makes Olbrain agents genuine actors the enterprise can attribute, verify, and answer for — not disposable chatbots.
Gartner forecasts 40% of enterprise apps will embed AI agents by end of 2026 — up from less than 5% today. By 2029, that's 70%+ of enterprise IT operations. The agentic AI market is projected at $50–100B+ by 2030. You won't be learning yesterday's tech. You'll be building identity-native agent infrastructure that enterprises will run on for the next decade — and you'll be doing it while the team is still small enough that your code actually matters.
Olbrain's culture is defined by what we call MAD — Mastery, Ambition, Dominance. The full ethos is here: We Are MAD. It tells you what you'd be signing up for — worth ten minutes before you hit send.
Email your resume to careers@olbrain.com. From there, our HR agent Cognia — built on Olbrain Studio — takes over. Every applicant gets a first-round interview with her: no résumé black hole, no human deciding you're not worth a conversation. But this is no formality. Cognia has read every line of your résumé and knows what someone who actually did that work would know — and she asks exactly there. She tests depth of knowledge, attitude, and fit with MAD, and her judgment sets the bar. This is the round that decides; fewer than 2% clear it.
That's the design. Agents handle scale. Founders handle judgment.