3 days ago
Tel Aviv-Yafo, Israel or Amsterdam, NetherlandsSenior
Responsibilities
- Build AI-driven automation solutions using LLMs, APIs, and agent frameworks.
- Develop document-processing, data-extraction, and operational-workflow automation systems.
- Design multi-step workflows connecting AI models with internal services.
- Integrate solutions with HR, finance, legal, dashboard, ticketing, and other internal systems.
- Deliver and iterate automation solutions ranging from GPT integrations to complex workflows.
- Train internal teams on newly built or optimized systems.
- Collaborate with technical leadership, product management, and IT on architecture and integrations.
- Communicate with internal stakeholders and external partners or vendors.
Requirements
- At least 5 years of experience 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: experience building AI agents or multi-step AI workflows.
- Preferred: experience with prompt engineering or LLM orchestration frameworks.
- Preferred: experience integrating enterprise systems or internal business tools.
- Preferred: familiarity with event-driven architectures, queues, and task orchestration systems.
- Preferred: experience teaching non-technical users to use developed systems effectively.
Benefits
- Competitive compensation.
- Career growth and learning opportunities.
- Flexibility and ownership.
- Collaborative and innovative culture.
- Opportunity to work on impactful AI projects.
- International environment with talented teams.
Tech Stack
Categories
About Nebius
The Nebius AI Cloud brings powerful full-stack infrastructure for AI developers and practitioners across startups, enterprises and science institutes to build and deploy generative AI applications and rapidly deliver scientific breakthroughs by training and running ML models within a secure, high-performance, and cost-optimized cloud environment.