AI/ML Engineer (Kiro + AgentCore)

Company Overview3 Cubed Business Consulting is headquartered in Singapore, providing end-to-end IT consulting, solutions, and services across Asia Pacific since 2015. We focus on delivering impactful technology solutions aligned with our customers’ purpose and passion.Job SummaryJoin as an AI/ML Engineer to design, develop, and deploy scalable AI/ML solutions. Collaborate with cross-functional teams to deliver intelligent, data-driven applications that drive business innovation and operational excellence.ResponsibilitiesDesign, build, and deploy AI/ML models and applications using modern frameworks and tools to deliver scalable solutionsDevelop and maintain LLM-based applications leveraging LangChain and LangGraph to enhance natural language processing capabilitiesBuild intelligent agent-based systems by integrating AI agent frameworks such as AgentCore and Kiro for automated decision-makingDevelop robust backend systems and data workflows using Python to support AI/ML model training and inferenceDesign and implement scalable data pipelines to optimize model training and deployment efficiencyCollaborate with DevOps teams to integrate DevSecOps practices across the ML lifecycle, ensuring secure and reliable deploymentsDeploy and manage AI/ML workloads on AWS cloud services following best practices for performance and securityParticipate actively in Agile development processes including sprint planning, daily stand-ups, and retrospectives to ensure timely deliveryEnsure code quality, security, and performance optimization across all AI/ML deliverables to maintain high standardsRequired competencies and certificationsMinimum 2 years of experience in AI/ML engineering or related rolesStrong proficiency in Python programming for AI/ML developmentHands-on experience with LangChain and LangGraph frameworksPractical experience with AI agent frameworks such as AgentCore and KiroProven ability to design and manage scalable data pipelinesFamiliarity with DevSecOps practices and CI/CD pipeline integrationWorking knowledge of AWS cloud services for AI/ML deploymentCertified or equivalent knowledge of AWS Solutions Architect – Associate levelUnderstanding of software development lifecycle and Agile methodologiesPreferred competencies and qualificationsExperience building and deploying LLM-based applications to enhance AI capabilitiesFamiliarity with vector databases and Retrieval-Augmented Generation (RAG) architecturesExposure to containerization technologies such as Docker and KubernetesStrong problem-solving and analytical skills to address complex AI/ML challengesOther InformationOpportunity to work on cutting-edge AI/ML technologies in a collaborative and inclusive environmentExposure to enterprise-scale AI implementations supporting career growth and continuous learningEqual Opportunity Statement: We are committed to fair and merit-based hiring practices in line with Singapore’s employment guidelines. All qualified applicants will be considered based on skills, experience, and job requirements.