Descripción de la oferta
ph3About Valeria /h3 /brpValeria is building the future of HR and payroll in Spain. We're an AI-native platform that automates contracts, payroll, and compliance for companies with high employee turnover (hospitality, delivery, events, agriculture). We're rethinking how an entire industry works—moving from manual, error-prone processes to intelligent automation. /p /brpWe're a fast-growing startup backed by top investors, disrupting a €5B+ industry that's still stuck in spreadsheets and legacy software. /p /brpValeria is an AI-native HR and payroll platform built for the way modern companies actually work. We automate the complex, compliance-heavy work that slows People teams down — so they can focus on what matters: their people. /p /brh3What You'll Work On /h3 /brpAs our AI Engineer Intern, you won't be watching from the sidelines — you'll be building real features that go into production and directly shape how HR teams experience AI. /p /brh3AI Document Intelligence /h3 /brul /brliBuild and improve LLM-powered pipelines for HR document processing (contracts, payslips, policies) /li /brliWork on extraction, classification, and structuring of unstructured HR data /li /brliExperiment with prompt engineering and RAG approaches to improve accuracy and reliability /li /br /ul /brh3Backend API Development /h3 /brul /brliContribute to our Python (Flask) backend using clean architecture principles /li /brliBuild and maintain RESTful APIs and async job processing pipelines on Azure /li /brliWork with PostgreSQL — designing schemas, writing queries, optimizing performance /li /br /ul /brh3Frontend Product /h3 /brul /brliContribute to our React / Next.js / TypeScript frontend — connecting AI features to user-facing experiences /li /brliCollaborate closely with the product team to turn user needs into working features /li /br /ul /brh3Infrastructure Observability /h3 /brul /brliWork within our Azure cloud environment and CI/CD pipelines via GitHub Actions /li /brliUse Azure Monitor and Application Insights to understand how your features perform in production /li /br /ul /brh3Tech Stack /h3 /brpAI/ML — LLM integrations (OpenAI, Anthropic), Document processing, vector search /p /brpBackend — Python, Flask, clean architecture, async processing, webhooks /p /brpDatabase — PostgreSQL /p /brpFrontend — React, Next.js, TypeScript /p /brpCloud — Azure, GitHub Actions, Azure Monitor, Application Insights /p /brh3What We’re Looking For /h3 /brh3Must-have /h3 /brul /brliCurrently in your final year of a CS, AI, Data Science, or related degree — or recently graduated / finishing a Master's /li /brliSolid Python fundamentals and genuine comfort working in a codebase you didn't write /li /brliHands-on experience or strong academic knowledge of LLMs, prompt engineering, or AI pipelines /li /brliAbility to work independently: you don't wait to be told what to do next /li /brliGood written English — our team communicates async and in English /li /br /ul /brh3The X-Factor /h3 /brpWe're a small team — every person here has a real impact. Beyond skills, we look for: /p /brul /brliGenuine curiosity about AI /li /brliProduct intuition — you care about the user, not just the tech /li /brliLow ego, high ownership — you're comfortable saying 'I don't know' and figuring it out /li /brliStartup mindset — you thrive with autonomy and are energized by ambiguity /li /br /ul /brh3What We Offer /h3 /brul /brliPaid internship /li /brliFree lunch when you're at the office (thanks to Nora Kombo) /li /brliReal ownership from day one — you'll ship features that real users interact with /li /brliHybrid flexibility — based in Barcelona, async-friendly setup /li /brliDirect mentorship — work alongside senior engineers and the founding team /li /brliFront-row seat to AI in production — see your work go live and iterate on real feedback /li /br /ul /brh3The Process /h3 /brol /brliIntro call (30 min) — we get to know each other and answer your questions /li /brliTeam interview — meet the people you'd be working with day to day /li /brliOffer /li /br /ol /p #J-18808-Ljbffr
