Nebius
AI Full-Stack Developer

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About Nebius
Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure.
Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI.
Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D.
Summary
We are seeking an AI Full-Stack Developer to build and scale automation solutions across internal company processes using AI, LLMs, and agent-based systems. This role focuses on delivering practical automation solutions, integrating AI capabilities with internal tools, and orchestrating workflows across multiple systems, with a dynamic range of tasks that offer both quick wins and complex challenges.
Responsibilities
- Build AI-driven automation solutions using LLMs, APIs, and agent frameworks.
- Develop systems to automate document processing, data extraction, and operational workflows.
- Design and implement multi-step automated workflows connecting AI models and internal services.
- Integrate automation solutions with internal systems such as HR, finance, legal, dashboards, and ticketing tools.
- Deliver and iterate practical automation solutions swiftly, from simple GPT/AI integrations to complex workflows.
- Train and support internal teams on newly built or optimized systems for strong adoption and self-sufficiency.
- Collaborate with Technical Team Lead, Product Manager, and IT teams on architecture and system integration.
- Communicate clearly with internal stakeholders and external partners or vendors.
Reasons to use Rodeo
I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?
Honest answer — it depends on where you want to end up. A lot of top grad schemes (Big 4, civil service, banking) don’t need a masters. Let’s look at the ones you’d be competitive for now, and we can decide if a masters actually adds anything.
Also worth knowing: most autumn 2026 applications are open now. Timing matters more than you think.
Start with a chat, not a search bar
Grad scheme, placement, apprenticeship? Not sure what you want yet — that's fine. Your agent talks it through with you and turns "I have no idea" into a shortlist.
Graduate Consultant — 2026 Scheme
Why you're a good match
StrongYour economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.
See breakdownIt searches the market for you
Every day your agent scans the market matching roles against what actually matters to you, not just keywords on a CV.
Why you're a good match
You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.
Experience fit
Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.
Only hits
No noise. No "maybe this fits." Just roles with a clear explanation of why they're right — and where to focus when applying.
Required Skills
- 5+ years of experience working as a Full-Stack Developer
- Strong programming skills in Python, TypeScript, JavaScript, and React.
- Experience building backend services and API integrations.
- Practical experience with LLM APIs or AI-based services.
- Strong familiarity with AI developer ecosystems.
- Proven ability to use AI-assisted coding tools effectively.
- Ability to work independently and efficiently.
- Familiarity with workflow automation systems or distributed architectures.
Preferred Qualifications
- Experience building AI agents or multi-step AI workflows.
- Experience with prompt engineering or LLM orchestration frameworks.
- Experience integrating with enterprise systems or internal business tools.
- Familiarity with event-driven architectures, queues, and task orchestration systems.
- Experience in teaching non-technical users how to utilize developed systems effectively.


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Benefits & Perks
- Competitive compensation
- Career growth and learning opportunities
- Flexibility and ownership
- Collaborative and innovative culture
- Opportunity to work on impactful AI projects
- International environment and talented teams
What's it like to work at Nebius
- Fast moving
- Bold thinking
- Constant growth
- Meaningful impact
- Trust and real ownership
- Opportunity to shape the future of AI
Equal Opportunity Statement
Nebius is an equal opportunity employer. We are committed to fostering an inclusive and diverse workplace and to providing equal employment opportunities in all aspects of employment. We do not discriminate on the basis of race, color, religion, sex (including pregnancy), national origin, ancestry, age, disability, genetic information, marital status, veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by applicable law.
Applicants must be authorized to work in the country in which they apply and will be required to provide proof of employment eligibility as a condition of hire.
If you need accommodations during the application process, please let us know.
“It took my CV and asked me questions relevant to understanding what kind of jobs to suggest for me. Suggestions were almost perfect. Jobs were exactly what I’ve been looking for.”
Jessica, London
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