Build AI that survives contact with production
Remote-first, engineer-led, and organised around one standard: if it does not run in production, it does not count. The work spans agents, retrieval, voice and document intelligence, on three clouds and inside enterprise ERP systems.
1
open position
1
disciplines hiring
3
clouds you would ship on
What the work is actually like
A small, focused company where the distance between a decision and a deployment is short.
Frontier work, shipped
The systems here go into production and stay there. That is a different discipline from research, and it is the one this team practises.
Built together, owned individually
Work crosses disciplines constantly, and every piece of it has a name against it. Ownership is the unit, not the ticket.
Real impact, measured
Every engagement starts with a metric agreed before the build. You will know whether what you shipped worked, which is rarer than it should be.
Remote-first, and it is not a perk
It is how the company is built. Hiring is not constrained by geography and nobody is asked to relocate.
Work from anywhere
Fully remote roles, with the tooling and the documentation to make that work rather than merely allow it.
Flexible hours
You manage your own time. What is agreed is what gets delivered, not when you were online.
Compensation per role
Pay and benefits are set out on each opening, honestly and specifically, rather than promised in general terms here.
Five steps, usually two to three weeks
Written out so you know what you are agreeing to before you start.
Application
Submitted online, and read by a person. Every application gets reviewed.
Intro call
A short conversation about your background and what you want to work on.
Technical assessment
Role-specific, designed to show how you think rather than whether you memorised an algorithm.
Technical interview
A deep-dive with the people you would actually work beside.
Final conversation
With leadership, about how you work and where you want to go.
What candidates ask
One array feeds this grid and the structured data, so a candidate and a search engine read the same answers.
Does Cognilium AI offer remote work?
Yes, Cognilium AI is a remote-first company. Most of our positions are fully remote, allowing you to work from anywhere in the world. We believe in hiring the best talent regardless of location and provide all the tools and support needed for effective remote collaboration.
What benefits does Cognilium AI offer?
Cognilium AI is remote-first with flexible hours and trusts people to manage their own time. Compensation and the benefits package are stated on each individual role posting rather than as a blanket claim here, because they vary by role, level and location — check the opening you are interested in for the specifics that apply to it.
What technologies does Cognilium AI work with?
Our tech stack includes Python, TypeScript, React, Next.js, Node.js, PyTorch, TensorFlow, LangChain, vector databases (Pinecone, Qdrant), and cloud platforms (AWS, GCP). We work on frontier AI projects including LLMs, RAG systems, and voice AI applications.
What is Cognilium AI's hiring process?
Our hiring process typically includes: 1) Application review (1-2 days), 2) Initial phone screen with HR (30 min), 3) Technical assessment or take-home project (varies by role), 4) Technical interview with the team (1 hour), 5) Final interview with leadership (45 min). The entire process usually takes 2-3 weeks.
What is the culture like at Cognilium AI?
Cognilium AI has a collaborative, innovation-driven culture. We value ownership, continuous learning, and direct communication. Our team is passionate about building AI that makes a real impact. We maintain a healthy work-life balance with flexible hours and trust our team members to deliver results.
What growth opportunities are available at Cognilium AI?
The work itself is the main one. Engineers here ship production AI across agents, retrieval, voice and document intelligence, on three clouds, and inside enterprise ERP systems — the range is unusual for a company this focused, and people move between tracks rather than staying in one lane. Specific development support is set out per role.
What experience level does Cognilium AI hire for?
It depends on the role, and each opening states the level it is written for. We weigh what someone has actually shipped over years of experience, and the technical stage of the process is designed to let that show. Where a role is open to a range of levels, the posting says so.
How do I apply for a position at Cognilium AI?
Visit our careers page at cognilium.ai/careers/openings to view all open positions. Click on a role to see the full job description and apply directly through our application form. Include your resume, cover letter (optional), and LinkedIn profile. We review every application and respond within 48 hours.
The engineering is written up at the stack — the best way to judge whether you want to work here.