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Open nowPosted 38 days ago

Senior AI Engineer

Workable (global search)108,016 open roles

Where
Athens, Attica, Greece
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Your applicationOpen nowSenior AI EngineerWorkable (global search) · Athens, Attica, Greece

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  2. CV RocketCV written for this posting.

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The clock on this job

Early applications get read.

7.9% of postings close within 7 days. Measured by our own scanner across the market. Workable (global search) postings stay open a median of 7 days.

Share of postings closed within
  1. 1.6%1 day
  2. 3.6%3 days
  3. 7.9%7 days
  4. 14.9%14 days
  5. 34.0%30 days
This job: posted 38 days ago

Workable (global search) median: 7 days open

The posting

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!

We are looking for a Senior AI Engineer who can bridge the gap between modern Generative AI capabilities and robust Software Engineering. You will design and build scalable AI-powered applications, work with Large Language Models and agentic systems, and help turn rapidly evolving GenAI technologies into reliable, maintainable products.

What Your Day Might Look Like:

  • Build production-grade GenAI applications: Design and develop AI-powered services and applications using Python, LLMs and modern software engineering practices—from prototypes to scalable production systems.
  • Engineer intelligent workflows: Build RAG pipelines, AI agents, tool-calling workflows, structured generation, conversational systems and other LLM-powered capabilities that solve real business problems.
  • Own the software behind the AI: Develop clean, modular and testable backend services, APIs and integrations, ensuring AI solutions are scalable, maintainable and production-ready.
  • Design AI architectures: Make architectural decisions around model selection, orchestration, retrieval, APIs, caching, data stores, vector databases and cloud infrastructure.
  • Make AI reliable: Implement evaluation frameworks, observability, tracing, monitoring and guardrails to understand how AI systems behave and continuously improve their quality.
  • Optimize performance: Improve latency, throughput, reliability and cost across LLM-powered applications through model routing, caching, asynchronous processing and thoughtful system design.
  • Integrate the AI ecosystem: Work with foundation models and platforms from providers such as OpenAI, Anthropic, Google, Microsoft and open-source ecosystems.
  • Collaborate across disciplines: Work closely with Software Engineers, Data Engineers, Data Scientists, Product teams and domain experts to translate business requirements into effective AI products.
  • Lead technically: Guide engineering decisions, review designs and code, mentor other engineers and establish best practices for building GenAI applications.
  • Stay ahead: Explore emerging GenAI technologies, frameworks and architectural patterns and assess where they can create meaningful value rather than adopting technology for technology's sake.
  • Document and share: Create clear technical documentation, architectural decisions and reusable patterns that help the broader team build better AI systems.

Requirements

Your Superpowers🚀:

  • Degree in Computer Science, Software Engineering, STEM or equivalent practical experience.
  • 5+ years of professional software engineering experience, ideally building backend, cloud-native or data-intensive applications, including 1+ year in building GenAI systems.
  • Strong experience designing and developing production systems using Python.
  • Solid understanding of software engineering fundamentals, including clean architecture, design patterns, testing, API design, concurrency, asynchronous programming and maintainable codebases.
  • Hands-on experience building applications with Large Language Models and Generative AI, including areas such as:
  • Retrieval-Augmented Generation (RAG)
  • Agentic workflows and tool/function calling
  • Αgent orchestration, multi-agent systems, MCP or tool-based AI architectures.
  • Prompt engineering and structured outputs
  • Embeddings and semantic search
  • Context and conversation management
  • LLM evaluation and observability
  • Guardrails and responsible AI patterns
  • Experience with frameworks and libraries such as FastAPI, Pydantic and at least one GenAI orchestration ecosystem such as LangChain, LangGraph, LlamaIndex or Semantic Kernel.
  • Experience working with mainstream AI platforms and foundation models from OpenAI, Azure OpenAI, Anthropic, Google and/or open-source model providers.
  • Experience with vector databases and search technologies, such as Azure AI Search, Elasticsearch/OpenSearch, pgvector, Pinecone, Weaviate, Qdrant or similar.
  • Strong understanding of REST APIs, distributed systems and service-oriented architectures.
  • Hands-on experience with at least one major cloud platform such as Azure or AWS.
  • Experience writing automated tests and building reliable engineering workflows.
  • Ability to reason about trade-offs between model quality, latency, scalability, security and cost.
  • Fluent English and strong communication skills, with the ability to explain complex technical decisions clearly to both technical and non-technical stakeholders

Benefits

  • Competitive Salary – A rewarding package that reflects your skills and experience.
  • Flexible Working –Enjoy flexible hybrid model in our modern Athens office or work remotely from anywhere in European economic Area (EU, Switzerland etc.) or UK (up to 6 weeks per year).
  • Health & Wellness Benefits – Private insurance, and the chance to work with a stellar crew.
  • Learning & Development –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.
  • Career Growth – Clear opportunities to develop your skills and progress within the company.
  • Great Team & Culture – Work with talented, supportive people in a collaborative environment.
  • Team Events & Perks – Enjoy social events, celebrations, and exclusive employee benefits.
  • Modern Tools & Technology – Everything you need to do your best work.
  • A Workplace That Values You – Your ideas, contribution, and well-being genuinely matter
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