Senior Software Engineer, Agents (Agentic Search)

About this role

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.

The Product

In a rapidly evolving world, trust in AI depends on AI agents being grounded in fresh, verified real-world data. Search is the foundation that makes this possible.

We are building an agent-native search platform designed specifically for AI systems rather than human users. Our product provides programmatic, low-latency, and observable search APIs that AI agents use to retrieve, filter, and reason over real-world information at scale.

The Role

We are looking for a Senior AI Software Engineer to build the agents that sit on top of our search platform: systems that take a user's intent, break it into steps, gather and verify information from the web, and return answers an agent can act on. You will work across applied research and engineering, designing how agents plan, call tools, retrieve, and reason so they accomplish open-ended tasks reliably and at scale.

This is a high-ownership role at the intersection of agent systems, retrieval, and product. You will turn frontier-model capabilities into dependable, production-grade agent behavior, and you will own that behavior end to end, from the prompts and tools to the evaluation that proves it works.

In this position, your responsibility will be to

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Design and build AI agents that plan, retrieve, and reason over real-world information to complete open-ended tasks

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Build the tool interfaces and context engineering that let frontier models use our search and other tools effectively

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Mine and analyze usage data to build agents that learn and improve continually from how they are used

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Turn new model capabilities into reliable product features, and own them from prototype to production

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Define the evaluations, metrics, and guardrails that prove an agent is accurate, grounded, and safe

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Improve agent quality across reasoning, planning, tool use, and grounding against real user tasks

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Build the backend and infrastructure that run agents reliably under high volume

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Collaborate with the search, ML, and product teams to make agent and platform capabilities reinforce each other

You may be a good fit if you:

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6+ years of software engineering experience, with a track record of shipping complex systems to production

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Strong understanding of LLMs and transformer architecture, and how model behavior shapes what agents can do

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Able to mine and analyze data to build agents that learn and improve continually

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