Senior AI Engineer job opportunity at Satori Analytics.

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Date2026-02-16T17:20:39.213Z bot
Satori Analytics Senior AI Engineer
Experience: 4-years
Pattern: Full-time
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loacation Athens, Greece
loacation Athens....Greece

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! What Your Day Might Look Like: Architect and build scalable, production-grade GenAI systems and services. Design and implement Retrieval-Augmented Generation (RAG) pipelines end-to-end. Integrate and orchestrate LLMs (OpenAI, Anthropic, Google, or open-source models) in real-world applications. Build internal abstractions, SDKs, and reusable components for GenAI capabilities. Implement evaluation pipelines, guardrails, and monitoring for hallucination detection, drift, and quality control. Optimize inference performance, cost, token usage, and response latency. Design multi-step agent workflows and tool integrations safely and reliably. Lead the transition from experimentation to hardened production systems. Mentor engineers and establish best practices for GenAI engineering. Line management responsibilities – 1-2 bright junior engineers. Your Superpowers🚀: MSc in Computer Science, Engineering, or related STEM field (PhD is a plus). 4+ years of professional software engineering experience, with 1+ years building GenAI/LLM-powered systems in production. Strong backend engineering expertise: clean architecture, system design, SOLID principles, testing, and CI/CD. Deep experience building production-grade LLM applications (not just prototypes or notebooks). Expert-level Python skills, including async programming, typing, packaging, and performance optimization. Experience designing scalable APIs and AI microservices (FastAPI or similar frameworks). Strong understanding of LLM system patterns: RAG, tool calling, agents, prompt orchestration, memory, and evaluation pipelines. Experience managing latency, cost, reliability, and fallback strategies in LLM-powered systems. Hands-on experience with cloud platforms (AWS or Azure), Docker, CI/CD pipelines, and infrastructure-as-code. Experience implementing monitoring, logging, tracing, and evaluation frameworks for GenAI systems. Experience with vector databases (Azure AI Search, PostgreSQL pgvector, Pinecone, FAISS, Weaviate, Qdrant). Strong communication skills and ability to lead technical discussions and mentor engineers. Bonus Points for: Deep experience with LLM orchestration frameworks (LangChain, LlamaIndex). Experience hosting or fine-tuning open-source LLMs. Experience with model evaluation frameworks (RAGAS, custom eval harnesses, A/B testing for prompts). Experience building AI platforms or internal LLM gateways. Familiarity with distributed systems, message queues, or event-driven architectures. Experience with security, governance, and responsible AI practices in production environments.

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