{"id":3318870,"url":"https://alion.io/job/rare-beverage-ai-data-engineer-junior-mid-level-data-analytics-internal-ai-solutions","title":"AI Data Engineer (Junior–Mid Level) — Data Analytics & Internal AI Solutions","company":{"id":4479815,"name":"Rare Beverage","domain":"6tydegrees.com","url":"https://alion.io/company/rare-beverage","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":null,"truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"junior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Bangkok, Thailand"],"countries":["TH"],"hiring_countries":[],"hiring_countries_total":0,"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":"Claude","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Function Calling","optional":false},{"name":"LLM","optional":false},{"name":"MySQL","optional":false},{"name":"OpenAI","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"SQL","optional":false},{"name":"Supabase","optional":false},{"name":"Azure","optional":true},{"name":"Docker","optional":true},{"name":"n8n","optional":true},{"name":"Power Automate","optional":true},{"name":"Power BI","optional":true}],"status":"live","first_seen_at":"2026-10-27T00:00:00Z","employer_posted_date":null,"last_verified_at":"2026-10-27T00:00:00Z","board_verified":false,"closed_at":null,"days_open":2,"trust":{"level":"not_scored","repost_count":null,"flags":[],"days_open":2},"description":"Why This Role\nYou'll have real ownership over internal AI tooling from the ground up — not maintaining legacy systems but building new automation and agentic solutions that directly improve how internal teams work. This is a hands-on role for someone who wants to grow into a senior AI/data engineering position as our internal AI capabilities scale.\n\nWhat You'll Do\nDesign, build, and maintain internal AI-powered tools (CRM copilots, workflow automation, reporting assistants, agentic services) for internal business users\nBuild and maintain data pipelines that feed AI/analytics solutions — extraction, transformation, cleaning, and aggregation from systems like ERP, CRM, OMS, and e-commerce platforms\nIntegrate LLM APIs (e.g., Claude, OpenAI) and agent frameworks into internal tools, with attention to prompt design, tool/function calling, and structured outputs\nDevelop AI native dashboards and reporting layers to surface actionable retail/e-commerce metrics (sales, inventory, order status, customer segments)\nAutomate repetitive internal workflows (approvals, data entry, reporting, ticket triage, follow-ups) using scripting and agentic orchestration\nCollaborate with internal stakeholders (Execs, sales, ops, finance, logistics, marketing, etc.) to translate business needs into technical requirements\nEnsure data quality, security, and governance across internal AI tools, particularly around sensitive business and customer data\nDocument architecture, data flows, and solution logic for maintainability\nQualifications\nRequired:\n1–4 years of experience in a data analytics, data engineering, or AI/ML engineering role\nSolid skills and experience working with various databases (Supabase, Postgres, MongoDB, SQL, MySQL, etc.)\nProficiency in Python for data manipulation and scripting (pandas, requests, etc.)\nExperience with or strong interest in LLM/AI integration (API-based agents, prompt engineering, RAG, or similar)\nExperience with or strong interest in agentic AI frameworks or multi-agent orchestration\nBackground in retail, e-commerce, and/or manufacturing environments — familiarity with order management, inventory, production/supply chain, sales, or customer data 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