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Research Engineer

Job in 1000, Amsterdam, North Holland, Netherlands
Listing for: Clever Recruiting
Full Time position
Listed on 2026-05-22
Job specializations:
  • Software Development
    AI Engineer, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 80000 - 100000 EUR Yearly EUR 80000.00 100000.00 YEAR
Job Description & How to Apply Below

Research Engineer (AI / LLM / Agents)
Amsterdam, Netherlands;
Belgrade, Serbia;
Limassol, Cyprus;
London, United Kingdom;
Munich, Germany;
Remote

We are currently looking for a Research Engineer for one of our clients working on an innovative AI product in the creator economy space. The project focuses on building a next-generation platform that helps creators interact with their audiences in new ways, transform ideas into content, and build sustainable businesses using LLMs and AI agents
.

This role is ideal for someone with a strong background in engineering or machine learning who enjoys turning cutting‑edge ideas into real, shipped products.

Our client operates in a fast‑paced, experimentation‑driven environment
. Teams iterate quickly, ship early versions, measure results, and continuously improve products based on data. Delivery, experimentation, and ownership are core parts of the culture.

In this role you will:
  • Ship AI product features that combine engineering and machine learning.
  • Build and improve agent workflows (tooling, retries, guardrails, fallbacks).
  • Improve the latency, cost, and reliability of AI systems.
  • Stay up to date with developments in the AI ecosystem (agent frameworks, tooling, emerging methods) and turn them into production‑ready features.
  • Build self‑improving systems that run experiments, learn from feedback and evaluations, and continuously improve the product.
We are looking for someone who:
  • Has experience shipping production systems
    , not only prototypes or demos.
  • Has worked with LLMs in real‑world applications (structured outputs, function calling, tool usage, reliability improvements).
  • Has experience building AI agents (multi‑step workflows that call tools, maintain state, and handle failures).
  • Has implemented evaluation frameworks to track quality (tests, regression checks, evaluation harnesses).
  • Is comfortable working in a fast‑moving environment
    , iterating quickly, and owning outcomes end‑to‑end.
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