Principal AI Researcher, Retrieval & Agentic Systems

Principal AI Researcher, Retrieval & Agentic Systems

Full-Time 80000 - 98000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Lead research on AI systems that retrieve real-time web data and design scalable architectures.
  • Company: Join Nebius, a forward-thinking company at the forefront of AI innovation.
  • Benefits: Enjoy competitive pay, flexible work options, and opportunities for professional growth.
  • Other info: Be part of a dynamic team driving the future of AI.
  • Why this job: Make a significant impact by advancing cutting-edge AI technologies in a collaborative environment.
  • Qualifications: Proven experience in AI research and strong problem-solving skills.

The predicted salary is between 80000 - 98000 Β£ per year.

Nebius is seeking a Staff or Principal Applied AI Researcher to advance agent native retrieval systems for real-time web data.

You will own research directions, design scalable architectures, and ship measurable AI impact in production.

The role emphasizes building systems where LLMs plan, query, refine, and reason over data with strict latency constraints, collaborating across engineering and product teams.

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Principal AI Researcher, Retrieval & Agentic Systems employer: Nebius

Nebius is an exceptional employer, offering a dynamic and innovative work culture that empowers employees to take ownership of their projects while contributing to impactful AI solutions. With competitive compensation, ample career growth opportunities, and a collaborative international environment, team members thrive in a setting that values bold thinking and meaningful contributions. Located in Amsterdam, Nebius provides a unique chance to work at the forefront of cloud infrastructure for the AI economy, surrounded by talented professionals dedicated to pushing the boundaries of technology.

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Contact Details:

Nebius Recruitment Team

We think you need these skills to ace Principal AI Researcher, Retrieval & Agentic Systems

Applied AI Research
Retrieval Systems
Scalable Architecture Design
Real-time Data Processing
LLM (Large Language Model) Development
Latency Management
Collaboration with Engineering Teams