ph3Why Keyrus, Why Now! /h3 pKeyrus is an international group of 2,800 consultants and experts across 28 countries, built on a single conviction: bAI does not transform businesses. Architected intelligence does. /b /p pFor more than 30 years, we have been building the data foundations that make intelligent systems work — designing the Operating System of the intelligent enterprise, where intelligence is embedded into the core of business processes to create sustainable value: bwe operationalise intelligence. /b /p pAI does not replace humans. It repositions us to a place no system can follow: bunderstanding, deciding, designing, and creating. /b /p pAt Keyrus, you will not just develop skills — you will develop judgment. Your expertise sharpens with every system you architect, every client challenge you solve, and every deployment that compounds on the last. /p pOver time, you grow into one of the rarest professionals of the intelligence era: someone who bridges data, AI, and human decision‑making at scale, across industries and geographies. This is not a role you fill. It is a discipline you master and a story you help write to become a bKeyrus Architect of Intelligence. /b /p pbTechnology amplifies. Keyrus culture differentiates. Industrial discipline connects the two. /b /p h3Role Details /h3 pbJob location: /b Portugal / Remote within Europe /p pbContract type: /b Employee/ Contractor B2B /p pbTarget start date: /b September 2026 /p pbWorking hours: /b Full-time (40h/week) /p pbCompensation: /b 45k gross year to 60k gross year / or B2B 280 to 350 euros/day /p h3What You’ll Architect /h3 pAs an bAI Engineer /b, you will help organisations transform complexity into measurable outcomes by combining technology, data, intelligence, and human decision‑making. /p pThis role is both technical and consultative — perfect for someone who can combine bAI solution development /b, bLLM engineering /b, and a strong bData Engineering foundation /b to deliver scalable and production‑ready intelligent systems. We’re looking for professionals who think like architects and act like builders. /p h3Key Responsibilities /h3 ul liBuild and maintain LLM‑powered pipelines for processing and automating customer requests. /li liDesign and implement data ingestion, data preprocessing, and enrichment pipelines for unstructured data sources, including emails, PDFs, images, and documents. /li liDevelop classification, routing, and decision workflows for customer inquiries. /li liApply prompt engineering best practices and continuously improve model performance and output quality. /li liImplement structured outputs and Human‑in‑the‑Loop (HITL) workflows to ensure reliability and business adoption. /li liEnsure production readiness through testing, CI/CD, containerisation, and monitoring. /li liContribute to AI architecture design, scalability, and engineering standards. /li liMonitor, evaluate, and optimise AI systems using LLM observability tools and performance metrics. /li liCollaborate closely with engineering, product, and business teams to integrate AI solutions into existing processes and workflows. /li /ul h3Who You Are /h3 ul liYou are an experienced AI Engineer with a strong background in Data Engineering, comfortable working across the entire lifecycle of intelligent applications. /li liYou enjoy building practical AI solutions that solve real business problems rather than experimenting with technology for its own sake. /li liYou are passionate about LLMs, Generative AI, and modern data platforms,



while maintaining a strong focus on scalability, reliability, and maintainability. /li liYou balance software engineering discipline, data engineering expertise, and AI innovation. /li liYou are comfortable working autonomously and taking ownership of complex technical initiatives from design through deployment. /li liYou thrive in collaborative, international environments and work effectively with both technical and non‑technical stakeholders. /li liYou are naturally curious and continuously explore new approaches, tools, and frameworks within the rapidly evolving AI ecosystem. /li liYou communicate clearly and effectively and can explain complex technical concepts in an accessible way. /li /ul h3What You Bring /h3 h3Qualifications Experience /h3 ul li5+ years of experience in Software Engineering, Data Engineering, AI Engineering, or related fields. /li liStrong professional experience developing production‑grade Python applications. /li liProven experience building and maintaining LLM‑based solutions and intelligent workflows. /li liExperience working with unstructured data processing pipelines. /li liAbility to work independently in multidisciplinary and distributed teams. /li liProfessional proficiency in English. /li /ul h3Technical Professional Skills /h3 ul liStrong expertise in: Python; FastAPI; Async programming patterns; REST APIs; and PostgreSQL /li liHands‑on experience with OpenAI SDK, LangChain, LangGraph or similar LLM orchestration frameworks /li liStrong experience in Prompt Engineering, LLM evaluation, Structured outputs and Human‑in‑the‑Loop workflows /li liSolid Data Engineering background, including data pipelines, ingestion, preprocessing and working with unstructured datasets /li liExperience with: Docker; CI/CD pipelines; testing practices; and production deployments /li liPractical experience using AI‑assisted development tools such as GitHub Copilot, Codex, Claude Code, or similar. /li /ul h3Nice to Have /h3 ul liGerman or French proficiency is highly valued /li liExperience with Kafka, RabbitMQ, Azure Service Bus, or other event‑driven architectures. /li liExperience with Langfuse or other LLM observability platforms. /li liExperience within the Microsoft Azure ecosystem, including Container Apps, IAM, KEDA, and secrets management. /li liKnowledge of Terraform or other Infrastructure‑as‑Code tools. /li liExperience building distributed processing systems and async worker architectures. /li liPrevious consulting or client‑facing experience. /li /ul h3What Makes You Successful /h3 ul liYou focus on delivering business‑ready AI solutions, not just technical prototypes. /li liYou combine strong Data Engineering fundamentals with modern LLM and Generative AI expertise. /li liYou design systems with scalability, reliability, security, and maintainability in mind. /li liYou proactively identify opportunities to improve automation, efficiency, and customer experience through AI. /li liYou approach AI challenges with both experimentation and engineering discipline. /li liYou are comfortable navigating ambiguity and translating business requirements into practical technical solutions.



/li liYou continuously optimise model performance, observability, and operational excellence. /li liYou actively share knowledge and contribute to stronger engineering standards across teams. /li liYou combine autonomy, ownership, and collaboration to deliver measurable outcomes. /li /ul h3What We Offer at Keyrus Portugal /h3 ul liCompetitive salary aligned with your experience and the data market /li liMeal allowance: €10.20/day /li liFlexible benefits plan /li liPrivate medical insurance /li li22 days of annual leave, increasing every 3 years (up to 25 days) /li liContinuous learning via KLX – Keyrus Learning Experience /li liA collaborative, international, and human‑centred work environment /li /ul h3How Our Salary Ranges Work /h3 pAt Keyrus, salary ranges reflect bdifferent levels of mastery and impact within the same role /b — not different job titles. /p ul liBottom of the range You meet the core requirements and will need ramp‑up time and support. /li liMiddle of the range You are fully autonomous from Day 1 and deliver consistently. /li liTop of the range You are a reference for the role, mentor others, and raise the bar for the team. /li /ul pFinal offers are based on bexperience, autonomy, scope, and market context /b, and are discussed transparently during the process. /p h3Responsible AI Recruitment /h3 pAt Keyrus, all stages of our recruitment process are conducted and evaluated by human recruiters and interviewers. /p pTo support accuracy and efficiency, AI may occasionally be used internally by our team exclusively for bnote‑taking purposes during interviews /b. AI is bnever /b used to make decisions. /p pTo ensure bfairness, authenticity, and the protection of confidential and proprietary information /b, the use of AI tools by candidates during the recruitment process is bstrictly prohibited /b. /p pOur commitment to bresponsible AI practices /b ensures that hiring decisions are based solely on each candidate’s own skills, experience, judgment, and expertise. /p pAny use of AI assistance during the interview process may result in immediate disqualification from the recruitment process. /p h3Equal Opportunity Statement /h3 pWe are committed to building an inclusive workplace and encourage applications from all backgrounds, regardless of race, ethnicity, gender identity, sexual orientation, age, disability, or any other protected characteristic. /p pAt Keyrus, we help organisations move from experimental AI to industrialised AI, from isolated agents to orchestrated systems, and from insight to execution. This is the discipline we call being an bArchitect of Intelligence /b. Designing the Operating System of the intelligent enterprise, where intelligence is embedded into the core of business processes to create sustainable value: bwe operationalise intelligence /b. /p pPowered by our proprietary Human Orchestrated Model (HOM), we architect reliable: /p ul liIntelligence Foundations, /li liHuman in Command governance, /li liand Performance Steering, /li /ul pTo create intelligent environments where technology amplifies human capabilities and performance compounds over time. /p pWith 30+ years of expertise and 2,800 employees across 28 countries, we help organisations go beyond transformation: to build adaptive, resilient, and continuously improving intelligent organisations. /p pAI does not transform businesses. Architected intelligence does. /p pKeyrus Portugal participates in the +Talento Internship Program, co‑funded by IEFP and Portugal 2030. /p /p #J-18808-Ljbffr

📌 AI Engineer (Tarragona)
🏢 Keyrus
📍 Tarragona