Mid AI Engineer

Mid AI Engineer Ready to build AI beyond chat? Design agentic workflows, RAG pipelines, and scalable LLM systems in a fast-growing SaaS company shaping the future of intelligent products. About the company Shalion is a data and insights-driven company that serves world-class manufacturers and brands globally. Through our Digital Shelf Optimization, Retail Media, and Food Service Aggregators solutions, we provide innovative tools for e-commerce monitoring. At Shalion, we empower brands to make smarter business decisions in eCommerce by delivering actionable data and insights on online product prices, availability, share of search, and more. We operate across 1000+ e-retailers in 60+ countries, serving industry giants such as Heineken, Lego, Danone, Nestlé, and JDE. As a leader in data intelligence, we specialize in gathering, analyzing, and applying proprietary artificial intelligence to deliver relevant data and monitoring tools, helping our clients maximize their e-commerce performance. The role We are looking for a Mid-Level AI Engineer to accelerate our AI engineering efforts at our Barcelona offices. We want someone with an "agentic" mindset who views LLMs as reasoning engines within a larger architecture, rather than simple text predictors. Working closely with our AI and Engineering leadership, you will help build advanced AI systems that move beyond standard chat interfaces. Your primary focus will be architecting agentic workflows, governing complex states in LLM systems, and making sure our generative capabilities remain reliable, steerable, and scalable. Your Responsibilities Design and implement complex, multi-step AI workflows using LangGraph to manage state, loops, and conditional logic. Develop, test, and version-control advanced prompts, Few-shot, Chain-of-Thought, ReAct. Build and maintain Retrieval-Augmented Generation, RAG, pipelines, including document parsing, embedding optimization, and vector database management. Establish automated evaluation frameworks to measure hallucination rates, groundedness, and relevancy. Required Qualifications 3+ years in software engineering, with at least 1 year of hands-on experience building and deploying LLM-based applications in production. Deep proficiency in Python (including async programming, testing, and modern frameworks like FastAPI and Pydantic). Experience with orchestration tools such as LangGraph, Stateful Actors, LangChain, CrewAI, or Vertex AI Agent Builder. Deep understanding of how to manage conversational state and memory in complex, non-linear AI graphs, cycles, nodes, and edges. Ability to treat AI engineering like software engineering, applying CI/CD, unit testing for prompts, structured logging, and observability. Professional fluency in English and Spanish. Nice-to-have skills Experience with LangChain/Langgraph. Experience with prompt engineering and optimization. What we offer you 🌍 An international team – Work with colleagues from 15+ nationalities. 🚀 A dynamic and innovative environment – Be part of a high-performing team. 🏢 Hybrid work model – 3 days in-office, 2 days remote. 💡 Impactful work – Contribute to a challenging and innovative project. 🎟 Flexible benefits – allocate part of your gross salary (pre-tax) to meal vouchers, transport allowance, and private healthcare at a preferential rate. 🍏 Office perks – Fresh fruit and specialty coffee daily. 📄 Contract: Permanent 📍 Great location – Office in Barcelona’s Sarrià-Sant Gervasi district. Shalion Data Services Limited is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Department Technology Locations Barcelona Remote status Hybrid Employment type Full-time Employment level First /Mid-Level Officials Experience +3 years About Shalion Shalion is a global leader in eCommerce intelligence, helping brands thrive in an increasingly complex digital landscape. We provide a unique platform that unifies digital shelf and retail media insights, empowering businesses to make data-driven decisions that drive growth and success. Our solutions deliver product performance data from over 1,000 retailers across over 60 countries, offering comprehensive visibility into every aspect of your eCommerce performance. Founded in 2019