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Satori Analytics logo

Software Engineer (AI Platform)

Satori Analytics
Posted Jun 11, 2026, 10:17 PM UTC
🇬🇷Greece🏠Remote📁Engineering & Development
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Are you passionate about AI? 🤖 At Satori Analytics, we aim to change the world one algorithm at a time by bringing clarity to global brands through Data & AI. From cloud-based ecosystems for fintech to predictive models for airlines, our cutting-edge solutions cover the entire data lifecycle—from ingestion to AI applications. As a fast-growing scale-up, our team of 100+ tech specialists—including Data Engineers, Data Scientists, and more—delivers innovative analytics solutions across industries like FMCG, retail, manufacturing and FSI. Join us as we lead the data revolution in South-Eastern Europe and beyond! Together with a partnering company, we're looking for a strong Software Engineer to build the systems behind an AI agent evaluation platform — systems that test, grade, and stress AI agents at scale, and turn the results into actionable signal about how those agents behave.This is a software engineering role first — designing services, data models, and pipelines that have to be correct, tested, and maintainable — applied to an AI problem domain. You'll work with LLMs regularly, but the core of the job is engineering, not prompt-tuning. What Your Day Might Look Like: Backend services & APIs : Build and maintain the services, data models, and APIs that power the platform — designed for correctness, testability, and scale. Simulation & orchestration : Work on the systems that coordinate complex, multi-step interactions between AI agents and external systems, improving their reliability and throughput. Evaluation & scoring : Design systems that grade agent outputs, combining deterministic checks with model-assisted judgment — and make scoring reliable, explainable, and reproducible. Data pipelines : Build pipelines that generate, transform, and quality-check large volumes of structured data and benchmark content. Quality & reliability : Add the tests, instrumentation, and safeguards needed to trust outputs from systems that are inherently non-deterministic.

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