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EU remote

AI Engineer (AWS, Gen AI)

KeyrusPortugal, SpainPosted 10 Sept 2026

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About this role

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: PortugalorSpain(Remotemodel) 🕒 Contract type: Employee/Fixed-term/ContractorB2B 🗓 Target start date: ASAP ⏰ Working hours: Full-time 💵 Compensation: €45,000-€70,000grossperyear 📋 What You'll Architect Asan AI Engineer in an AWSenvironment,youwillhelporganisationstransformcomplexityintomeasurableoutcomesbycombiningtechnology,data,intelligence,andhumandecision-making.

This role is both technical and consultative, perfect for someone who can combine hands-on development, cloud engineering, solution design, and client delivery. We're lookingforprofessionalswhocanmoveAIinitiativesfromexperimentationtoenterprise-scaleproductionenvironments. KeyResponsibilities Design anddevelopGenerativeAIsolutionsusingAmazonBedrock,includingFoundationModels,KnowledgeBases,RAGpatterns,andagent-basedarchitectures Build, deploy, and maintain production-ready AIapplicationsandserviceswithinAWScloudenvironments DevelopserverlesssolutionsusingAWSLambdaandorchestrateworkflowsthroughAWSStepFunctions ContaineriseanddeployworkloadsusingAmazonECSandAWSFargate IntegrateAIsolutionswithenterprisesystemsanddataplatforms,includingAmazonRDSandSnowflake Designscalable,secure,andmaintainablearchitecturesforenterpriseAIapplications ImplementinfrastructureusingTerraformandInfrastructureasCodebestpractices Apply AWSIAMsecurityprinciples,roles,permissions,andgovernancestandards DevelopRESTAPIsandbackendservicestosupportAI-poweredapplications Support theindustrialisationofGenAIusecases,transitioningsolutionsfromPoCtoproduction CollaboratecloselywithDataEngineers,CloudEngineers,Architects,AISpecialists,andclientstakeholders Contribute to technicalstandards,architecturaldecisions,andAWS/AIbestpracticesacrossprojects.

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👤 Who You Are Youarecurious,analytical,andmotivatedbysolvingmeaningfulbusinesschallenges Youenjoyturningcomplexityintoclarityandaction Youbalancetechnicalthinkingwithbusinessunderstanding Youarecomfortableworkingincollaborativeandinternationalenvironments Youtakeownershipofyourworkandfollowthroughoncommitments Youvaluecontinuouslearningandaremotivatedbylong-termprofessionalgrowth Youcommunicateclearlyandeffectivelywithavarietyofstakeholders You enjoy buildingpracticalsolutionsandbringingAIusecasesintoreal-worldproductionenvironments.

🛠️ What You Bring Qualifications & Experience Relevant academicbackgroundinComputerScience,SoftwareEngineering,ArtificialIntelligence,DataEngineering,orequivalentprofessionalexperience ExperienceasanAIEngineer,MachineLearningEngineer,CloudEngineer,DataEngineer,orsimilarrole Stronghands-onexperienceworkingwithAWSinproductionenvironments Experiencedesigning,developing,anddeployingGenerativeAIorLLM-basedapplications Experiencebuildingscalablecloud-nativeapplicationsandservices Strongunderstandingofsoftwareengineeringprinciples,APIs,anddistributedarchitectures Abilitytoworkeffectivelyinmultidisciplinaryenvironments ProfessionalproficiencyinEnglish.

Technical & Professional Skills Amazon Bedrock, Foundation Models, KnowledgeBases,Retrieval-AugmentedGeneration(RAG),andagent-basedAIarchitectures AWScloudservicesincludingLambda,ECS,Fargate,RDS,IAM,andStepFunctions IaC usingTerraformandcloud-nativearchitecturedesignprinciples Python development,RESTAPIdesign,serviceintegration,andmodernsoftwareengineeringpractices Git,versioncontrol,andcollaborativedevelopmentmethodologies Strong understandingofscalability,security,performance,andmaintainabilitywithinAWSenvironments Strong analytical,problem-solving,andsolutiondesigncapabilities,withtheabilitytotranslatebusinessrequirementsintotechnicalsolutions.

Nice to Have French language skills AmazonCognito,AWSsecurityandnetworking,andCI/CDautomationforcloudandAIapplications Snowflake,vectordatabases,semanticsearch,andenterprisedataintegration LLMevaluation,monitoring,observability,andAIapplicationgovernance Docker,containerisation,andexperiencedeployingdistributedcloudsolutions ExperienceindustrialisingAIandMachineLearningsolutionsfromPoCtoproduction AWScertifications Experienceinconsultingorclient-facingenvironments Exposuretointernationalprojectsormulticulturalteams ⭐ What Makes You Successful You focus on outcomes rather than activity.

You approach challenges with curiosity and pragmatism. You communicate complex concepts in a clear and accessible way. You are comfortable navigating ambiguity and finding practical solutions. You contribute to collective intelligence by sharing knowledge and supporting others. You combine autonomy with collaboration. You continuously look for opportunities to improve systems, processes, and results. 🎁 What We Offer at Keyrus Portugal Competitive salary aligned with your experience and the data market Meal allowance: €10.20/day Flexible benefits plan Private medical insurance 22 days of annual leave, increasing every 3 years (up to 25 days) Continuous learning via KLX – Keyrus Learning Experience A collaborative, international, and human-centred work environment 💰 How Our Salary Ranges Work At Keyrus , salary ranges reflect different levels of mastery and impact within the same role — not different job titles.

Bottom of the range You meet the core requirements and will need ramp-up time and support. Middle of the range You are fully autonomous from Day 1 and deliver consistently. Top of the range You are a reference for the role, mentor others, and raise the bar for the team. Final offers are based on experience, autonomy, scope, and market context , and are discussed transparently during the process. 🔒 Responsible AI & Recruitment At Keyrus , all stages of our recruitment process are conducted and evaluated by human recruiters and interviewers.

To support accuracy and efficiency, AI may occasionally be used internally by our team exclusively for note-taking purposes during interviews . AI is never used to make decisions. To ensure fairness, authenticity, and the protection of confidential and proprietary information , the use of AI tools by candidates during the recruitment process is strictly prohibited . Our commitment to responsible AI practices ensures that hiring decisions are based solely on each candidate’s own skills, experience, judgment, and expertise.

⚠️ Any use of AI assistance during the interview process may result in immediate disqualification from the recruitment process. ♿ Equal Opportunity Statement We 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. Originally posted on Himalayas

Source listing: himalayas_portugal_p2

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