AI Engineer

Why Keyrus, Why Now 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.

Role DetailsJob

location:
Portugal or Spain (Remote model)Contract type: Employee / Contractor B2BTarget start date: Jan 2027Working hours: Full-timeCompensation: €45k to €70k gross per year / €300
- €400 dayWhat You'll ArchitectAs an AI / GenAI 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 hands-on development, solution design, and delivery of AI-powered solutions. We're looking for professionals who think like architects and act like builders.

Key Responsibilities
Design, develop and deploy Generative AI solutions using AWS AI services and modern LLM frameworksBuild and optimise RAG (Retrieval Augmented Generation) pipelines, including chunking strategies, hybrid retrieval approaches and metadata filteringDevelop AI applications using Python and AWS SDK (Boto3) to integrate with cloud-native servicesImplement and manage Amazon OpenSearch for semantic search and knowledge retrieval use casesCreate and maintain Amazon Bedrock Knowledge Bases for enterprise AI solutionsDesign and evaluate Agentic AI architectures, including AI agents, orchestration frameworks and autonomous workflowsApply prompt engineering best practices and implement LLM-as-a-Judge evaluation frameworks to measure model quality and performanceContribute to LLM FinOps, including model routing strategies, inference optimisation and cost managementCollaborate with data, cloud and business teams to deliver scalable AI solutions aligned with client objectivesProvide technical guidance on AI architecture, testing methodologies and production deployment strategiesWho You AreYou are curious, analytical, and motivated by solving meaningful business challenges.

You enjoy turning complexity into clarity and action.

You balance technical thinking with business understanding.

You are comfortable working in collaborative and international environments.

You take ownership of your work and follow through on commitments.

You value continuous learning and are motivated by long-term professional growth.

You communicate clearly and effectively with a variety of stakeholders.

What You BringQualifications & ExperienceBachelor's or Master's degree in Computer Science, Artificial Intelligence, Software Engineering, Data Science or a related field, or equivalent professional experience5+ years of experience in Software Engineering, Data Engineering, Machine Learning Engineering or AI-related rolesAt least 2 years of hands-on experience developing and deploying Generative AI and RAG solutionsProven experience delivering RAG architecture into productionExperience designing, implementing and supporting cloud-based applications in AWSExperience working in agile and multidisciplinary technical teamsProfessional proficiency in EnglishTechnical & Professional SkillsStrong proficiency in PythonHands-on experience with AWS SDK (Boto3)Experience building and optimising RAG architecturesKnowledge of Amazon OpenSearch and enterprise search solutionsExperience with Amazon Bedrock and Knowledge BasesUnderstanding of Agentic AI architectures and AI agent orchestration patternsStrong expertise in Prompt EngineeringExperience implementing LLM evaluation frameworks, including LLM-as-a-JudgeKnowledge of LLM FinOps, model routing and inference optimisation strategiesStrong analytical, problem-solving and solution-design capabilitiesAbility to translate business requirements into scalable technical solutionsNice to HaveProfessional proficiency in FrenchExperience with LangGraph, LangChain, AWS Strands Agents or similar orchestration frameworksExperience in consulting or client-facing environmentsKnowledge of MLOps, CI/CD and AI deployment best practicesAWS certifications, particularly in AI, Machine Learning or Cloud ArchitectureExposure to international projects and multicultural teamsExperience evaluating and benchmarking LLM-based applications in production environmentsWhat Makes You SuccessfulYou focus on outcomes rather than activity.

You approach challenges with curiosity and pragma