AI Product Engineer

Job not on LinkedIn

🔥 0 minutes ago

🇪🇸 Spain – Remote

⏰ Full Time

🟢 Junior

🟡 Mid-level

🧑‍💻 Full-stack Engineer

🚫👨‍🎓 No degree required

👻 Ghost score 12%

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Logo of LEADtech

LEADtech

2 - 10 employees

Founded 2017

🛍️ eCommerce

🛒 Retail

🔧 Hardware

eCommerce • Retail • Hardware

LEADtech is an online Romanian retailer and e‑commerce store that offers a broad catalogue of consumer electronics, IT and computer components, mobile phones, home electronics, gaming gear, appliances, tools, garden equipment, baby products and smart home/security devices. The site content (Romanian language, references to "lei" and sections like "Contul Meu") indicates a web storefront selling products from stock with delivery, account/returns support, and extensive category-based merchandising for consumers and small businesses.

📋 Description

• Build and maintain the core multiplatform AI-powered document system serving hundreds of thousands of users monthly • Own features end-to-end from idea through production • Develop React frontends and Node.js/Express backends using PostgreSQL • Instrument features, measure impact, gather user feedback, and iterate or discontinue features based on findings • Design and orchestrate agentic AI workflows using LangGraph, Claude Agent SDK, and MCP protocols • Integrate LLMs into product features through prompt chains, tool calling, and function execution • Collaborate with engineers, designers, and leadership to shape the product roadmap • Build, maintain, and extend automation pipelines • Connect automation pipelines with AI agents, external APIs, webhooks, and GCP cloud services

🎯 Requirements

• Python fluency and proficiency for rapid prototyping • 2–5 years of full-stack experience in a high-output team • Deep TypeScript and React proficiency, including Hooks, Context API, Vite, and Shadcn UI • Backend experience with Node.js, Express, REST APIs, and PostgreSQL • Product ownership mindset and ability to ship end-to-end • Ability to distinguish good and bad UX and provide examples • Experience with AI-native tooling, agents, MCP, and agentic orchestration patterns • Experience building guardrails for AI agents • Self-driven and business-aware approach focused on solving real problems and improving metrics • Bonus: production LLM experience, prompt tuning, RAG pipelines, vector databases such as Pinecone or Weaviate, or agentic frameworks such as LangGraph or CrewAI • Bonus: familiarity with LLM observability tools such as Langfuse or LangSmith and cloud platforms such as GCP • Bonus: familiarity with MCP, A2A, new models, and developer tooling

🏖️ Benefits

• Flexible career path with personalized internal training • Annual budget for external learning opportunities • Flexible schedule with flextime • Option to work fully remote or from the Barcelona office • Free Friday afternoons with a 7-hour workday • 35-hour workweek in July and August • Competitive salary • Full-time permanent contract • Top-tier private health insurance, including dental and psychological services • 25 days of vacation plus birthday off • Flexible vacation options with no blackout days • Free coffee, fresh fruit, snacks, game room, and rooftop terrace at the Barcelona office • Ticket restaurant and nursery vouchers paid directly from gross salary

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