Mid AI Engineer

Shalion Data Services Limited
Barcelona, Spain
12 days ago
Apply on es.trabajo.org
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience required
1 year minimum
Working hours
Regular working hours
Languages
English, Spanish
Job source

Tech stack

Artificial Intelligence Unit Testing Computer Programming Continuous Integration Python (Programming Language) Software Engineering Web Application Frameworks Workflow Management Systems Data Logging ReactJS Retrieval-Augmented Generation Large Language Models
+4 more
Prompt Engineering Fastapi Software Version Control Automation Anywhere

Requirements

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. -

About the company

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

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on es.trabajo.org
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

4:56 min

Building agentic workflows using prompt engineering and language models

1:21 min

Exploring the target application for front end tests

Anna Mcdougall · JS Congress

3:33 min

Connecting frontends via a FastAPI proxy backend layer

Saoussen Chaabnia Saoussen Chaabnia · Europe 2026 Virtual

2:55 min

Understanding the chore and effort of unit testing

Ewald Ewald · World Congress 2024

3:25 min

Constructing scalable AI solutions using LangChain and LangGraph

Julián Duque Julián Duque · World Congress 2025

2:59 min

Introduction and transitioning into the tech industry

Anna Mcdougall · JS Congress

Videos

See all

Related articles

See all