AI Engineer

Why Keyrus, Why Now!Keyrus is an international group of 2,800 consultants and experts across 28 countries, built on a single conviction: AI does not transform businesses. Architected intelligence does.For 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: we operationalise intelligence.AI does not replace humans. It repositions us to a place no system can follow: understanding, deciding, designing, and creating.At 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.Over 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 Keyrus Architect of Intelligence.Technology amplifies. Keyrus culture differentiates. Industrial discipline connects the two.Role Details📍Job location:Portugal / Remote within Europe 🕒Contract type: Employee/ Contractor B2B 🗓Target start date: ASAP ⏰Working hours: Full-time (40h/week) 💵Compensation: 45k gross year to 60k gross year / or B2B 280 to 350 euros/day 📋What You'll Architect As an AI Engineer, you will help organisations transform complexity into measurable outcomes by combining technology, data, intelligence, and human decision-making.This role is both technical and consultative — perfect for someone who can combine AI solution development, LLM engineering, and a strong Data Engineering foundation to deliver scalable and production-ready intelligent systems. We’re looking for professionals who think like architects and act like builders.Key Responsibilities Build and maintain LLM-powered pipelines for processing and automating customer requests. Design and implement data ingestion, data preprocessing, and enrichment pipelines for unstructured data sources, including emails, PDFs, images, and documents. Develop classification, routing, and decision workflows for customer inquiries. Apply prompt engineering best practices and continuously improve model performance and output quality. Implement structured outputs and Human-in-the-Loop (HITL) workflows to ensure reliability and business adoption. Ensure production readiness through testing, CI/CD, containerisation, and monitoring. Contribute to AI architecture design, scalability, and engineering standards. Monitor, evaluate, and optimise AI systems using LLM observability tools and performance metrics. Collaborate closely with engineering, product, and business teams to integrate AI solutions into existing processes and workflows. 👤Who You Are You are an experienced AI Engineer with a strong background in Data Engineering, comfortable working across the entire lifecycle of intelligent applications. You enjoy building practical AI solutions that solve real business problems rather than experimenting with technology for its own sake. You are passionate about LLMs, Generative AI, and modern data platforms, while maintaining a strong focus on scalability, reliability, and maintainability. You balance software engineering discipline, data engineering expertise, and AI innovation. You are comfortable working autonomously and taking ownership of complex technical initiatives from design through deployment. You thrive in collaborative, international environmentsand work effectively with both technical and non-technical stakeholders. You are naturally curiousand continuously explore new approaches, tools, and frameworks within the rapidly evolving AI ecosystem. You communicate clearly and effectively and can explain complex technical concepts in an accessible way. 🛠️What You Bring Qualifications & Experience 5+ years of experience in Software Engineering, Data Engineering, AI Engineering, or related fields. Strong professional experience developing production-grade Python applications. Proven experience building and maintaining LLM-based solutions and intelligent workflows. Experience working with unstructured data processing pipelines. Ability to work independently in multidisciplinary and distributed teams. Professional proficiency in English. Technical & Professional Skills Strong expertise in: Python; FastAPI; Async programming patterns; REST APIs; and PostgreSQL Hands-on experience with OpenAI SDK, LangChain, LangGraph orsimilar LLM orchestration frameworks Strong experience in Prompt Engineering, LLM evaluation, Structured outputs and Human-in-the-Loop workflows Solid Data Engineering background, including data pipelines, ingestion, preprocessing and working with unstructured datasets Experience with: Docker; CI/CD pipelines;testing practices; and productio