AI Engineer (AWS, Gen AI)

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

📍Joblocation:PortugalorSpain(Remotemodel)
🕒Contracttype:Employee/Fixed-term/ContractorB2B
🗓Targetstartdate:ASAP
⏰Workinghours:Full-time
💵Compensation:€45,000-€70,000grossperyear

📋What You'll Architect

AsanAIEngineerin 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.

Requirements

• Youarecurious,analytical,andmotivatedbysolvingmeaningfulbusinesschallenges

• Youenjoyturningcomplexityintoclarityandaction

• Youbalancetechnicalthinkingwithbusinessunderstanding

• Youarecomfortableworkingincollaborativeandinternationalenvironments

• Youtakeownershipofyourworkandfollowthroughoncommitments

• Youvaluecontinuouslearningandaremotivatedbylong-termprofessionalgrowth

• Youcommunicateclearlyandeffectivelywithavarietyofstakeholders

• You enjoy buildingpracticalsolutionsandbringingAIusecasesintoreal-worldproductionenvironments.

Requirements

Requirements

• 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.

Benefits

• Competitive salary aligned with your experience and the data market

• Meal allowance: €10.20/day

• Benefits

• 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.