Hybrid Senior AI Engineer

at Satori Analytics

• Job title: Senior AI Engineer
• Job type: Full Time
• Experience level: Senior
• Salary: Not specified
• Degree requirement: Postgraduate Degree
• Tech skills: AWS, Azure, Cloud, Docker, Microservices, Postgres, Python
• Location requirements: Hybrid, Athens, Greece

About the role

• Senior AI Engineer developing scalable, production-grade GenAI systems for Satori Analytics. Building LLM applications and mentoring junior engineers in a hybrid work environment.

Responsibilities

• 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.

Requirements

• 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.

Benefits

• Competitive salary and hybrid work model – come hang out in our Athens office or work remotely from anywhere in European economic Area (EU, Switzerland etc.) or UK (up to 6 weeks per year).
• Training budget to level up your skills from the top tech partners in the market (Microsoft, AWS, Salesforce, Databricks etc.) – whether it’s certifications or courses, we’ve got you covered.
• Private insurance, top-tier tech gear, and the chance to work with a stellar crew.