{"id":1002483,"url":"https://alion.io/job/satori-analytics-ai-engineer-2","title":"AI Engineer","company":{"id":7649,"name":"Satori Analytics","domain":"satorianalytics.com","url":"https://alion.io/company/satori-analytics","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":{"grade":"A","score":100,"open_postings":5,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":56,"computed_at":"2026-11-04T06:34:25Z"}},"role":"AI/ML","role_family":"AI/ML","seniority":null,"employment_type":"full_time","work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"inferred","locations":["Athens, Greece"],"countries":["GR"],"hiring_countries":["GB","CH","GR"],"hiring_countries_total":3,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"GCP","optional":false},{"name":"Machine Learning","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"PyTorch","optional":false},{"name":"RAG","optional":false},{"name":"Scikit-learn","optional":false},{"name":"TensorFlow","optional":false},{"name":"Anthropic","optional":true},{"name":"Databricks","optional":true},{"name":"FAISS","optional":true},{"name":"Hugging Face","optional":true},{"name":"LangChain","optional":true},{"name":"OpenAI","optional":true},{"name":"Pinecone","optional":true}],"status":"live","first_seen_at":"2026-09-17T13:28:17Z","employer_posted_date":"2026-09-17","last_verified_at":"2026-11-04T14:32:20Z","board_verified":true,"closed_at":null,"days_open":48,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":48},"description":"Are you passionate about AI?\nAt 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.\nAs 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!\nYour Day will Look Like:\n Build AI magic: Design and develop AI workflows and/or models in Python, with a focus on leveraging LLMs. You will learn how to bridge AI/ML and the Software Engineering world, building scalable AI solutions.\n Team collaboration: Work closely with data scientists, developers, and domain experts to brainstorm ideas, share updates, and guide progress.\n Stay ahead: Research new trends and integrate cutting-edge techniques into your projects.\n Problem-solving: Translate business needs into practical ML/AI solutions, while communicating results clearly.\n Document everything: Ensure your work is reproducible and easily understood across the team.\nRequirements\nYour Superpowers:\nBSc or MSc degree in Computer Science, Software Engineering, Data Science, or any relevant field.\n2+ years of experience in AI engineering, machine learning engineering, software engineering, or a related role.\nStrong programming skills in Python.\nExperience with machine learning frameworks such as PyTorch, TensorFlow, or scikit-learn.\nExperience with LLMs, RAG, prompt engineering, or AI agents.\nFamiliarity with vector databases and embedding technologies.\nUnderstanding of machine learning algorithms, model development, and deployment.\nExperience with APIs, software development practices, and version control.\nFamiliarity with cloud platforms such as AWS, Azure, or Google Cloud.\nStrong problem-solving and analytical skills.\nGood communication skills and a willingness to learn.\nBonus Points for:\nExperience with HuggingFace, LangChain, and vector similarity search tools (e.g., FAISS, Pinecone).\nExperience with mainstream AI models from OpenAI, Google and/or Anthropic.\nBenefits\nCompetitive Salary - A rewarding package that reflects your skills and experience.\n 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).\nHealth & Wellness Benefits - Private insurance, and the chance to work with a stellar crew.\n 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.\nCareer Growth - Clear opportunities to develop your skills and progress within the company.\nGreat Team & Culture - Work with talented, supportive people in a collaborative environment.\nTeam Events & Perks - Enjoy social events, celebrations, and exclusive employee benefits.\nModern Tools & Technology - Everything you need to do your best work.\n A Workplace That Values You - Your ideas, contribution, and well-being genuinely matter.\nReady to create some data magic with us? 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