Creai

Creai is a cutting-edge AI company dedicated to developing innovative solutions that transform industries and solve real-world challenges. Our team focuses on creating scalable, AI-driven products that push the boundaries of what's possible in technology.We pride ourselves on fostering a collaborative, creative, and dynamic environment where every team member plays a critical role in driving impact. At Creai, we don’t just build AI — we shape the future of it.

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📍 México, Colombia, Costa Rica

🧭 Full-Time

  • 8+ years of software development experience.
  • 4+ years in engineering management, leading multiple teams.
  • Proven ability to lead in fast-paced, uncertain environments.
  • Strong technical background with modern software architectures (limited hands-on coding required).
  • Excellent communication skills for technical and non-technical stakeholders.
  • Experience working with Product teams to translate business needs into technical strategies.
  • Familiarity with Agile/Scrum methodologies and cross-functional leadership.
  • Experience leading large-scale engineering projects.
  • Expertise in fostering innovation while ensuring operational excellence.
  • Experience with AI technologies like Machine Learning, Computer Vision, Generative AI, or Large Language Models.
  • Manage multiple team leads, overseeing team performance and growth.
  • Mentor engineers and team leads, fostering career development.
  • Promote a culture of inclusion, collaboration, and innovation.
  • Encourage creative problem-solving and ownership of solutions.
  • Define the technical vision and strategy in alignment with business goals.
  • Oversee architectural decisions, ensuring code quality and best practices.
  • Lead modernization efforts and implement forward-thinking technical strategies.
  • Foster continuous improvement in technical processes and outcomes.
  • Strategically allocate resources across teams for optimal delivery.
  • Work with Product Management on roadmap planning, prioritization, and project execution.
  • Manage risks and remove obstacles for seamless project delivery.
  • Continuously improve development processes and delivery pipelines.
  • Partner with the CTO to shape and execute the technology strategy.
  • Collaborate with Product Leadership to align technical capabilities with product goals.
  • Communicate technical challenges in a way that stakeholders can understand and act upon.
  • Advocate for engineering teams, ensuring they have the necessary resources and support.

Backend DevelopmentLeadershipProject ManagementSoftware DevelopmentAgilePeople ManagementProduct ManagementSCRUMSoftware ArchitectureCross-functional Team LeadershipCommunication SkillsCI/CDAgile methodologiesRESTful APIsMentoringSoftware Engineering

Posted 9 days ago
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🔥 Delivery Manager
Posted 11 days ago

📍 México, Colombia, Costa Rica

🧭 Full-Time

🔍 AI

  • 8+ years of software development experience.
  • 4+ years in engineering management, leading multiple teams.
  • Strong technical background with modern software architectures.
  • Manage multiple team leads, overseeing team performance and growth.
  • Mentor engineers and team leads, fostering career development.
  • Define the technical vision and strategy in alignment with business goals.
  • Strategically allocate resources across teams for optimal delivery.
  • Partner with the CTO to shape and execute the technology strategy.

AWSLeadershipProject ManagementSoftware DevelopmentSQLAgileBusiness AnalysisCloud ComputingData AnalysisMicrosoft AzurePeople ManagementSalesforceSoftware ArchitectureProject CoordinationCross-functional Team LeadershipStrategic ManagementCommunication SkillsAnalytical SkillsCI/CDProblem SolvingAgile methodologiesRESTful APIsMentoringTeamworkNegotiation skillsReportingClient relationship managementRisk ManagementStakeholder managementFinancial analysisBudget management

Posted 11 days ago
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📍 Worldwide

🧭 Full-Time

🔍 AI

  • Proficiency in Python and Java or Scala; familiarity with machine learning frameworks like TensorFlow or PyTorch and data libraries like pandas and scikit-learn.
  • Hands-on experience with AWS, Google Cloud, or Azure and their machine learning toolsets.
  • Proven ability to tackle complex problems using data analytics and predictive modeling.
  • Strong verbal and written communication skills with a team-oriented mindset, capable of working effectively with cross-functional teams.
  • Keen scientific curiosity with a commitment to staying updated on industry trends and best practices.
  • Familiarity with data structures, data modeling, and software architecture principles.
  • Develop Scalable AI Solutions: Design, build, and maintain efficient machine learning models and full-stack solutions from prototype to production, optimizing performance, scalability, and cost.
  • Cross-functional collaboration: Work closely with data scientists, software engineers, and product managers to integrate AI models into broader software systems, ensuring seamless functionality.
  • Data Analysis & Model Building: Analyze large datasets, develop predictive models, and apply advanced statistical techniques to address client-specific challenges.
  • Optimize Performance: Continuously improve existing systems and algorithms for speed, efficiency, and reliability.
  • Cloud Services Integration: Utilize cloud platforms (AWS, Google Cloud, Azure) to deploy and scale AI solutions, leveraging services that enhance performance and cost-effectiveness.
  • Stay on the Cutting Edge: Stay informed about the latest AI and machine learning trends and technologies, ensuring that Creai remains competitive.
  • Documentation & Communication: Document development processes and present technical results to technical and non-technical stakeholders.

AWSBackend DevelopmentPythonSQLArtificial IntelligenceCloud ComputingData AnalysisFull Stack DevelopmentJavaMachine LearningPyTorchSoftware ArchitectureAlgorithmsAzureData scienceData StructuresREST APIPandasTensorflowScalaData modeling

Posted 18 days ago
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📍 Worldwide

🧭 Full-Time

🔍 AI

  • Proficiency in Python and Java or Scala; familiarity with machine learning frameworks like TensorFlow or PyTorch and data libraries like pandas and scikit-learn.
  • Hands-on experience with AWS, Google Cloud, or Azure and their machine learning toolsets.
  • Proven ability to tackle complex problems using data analytics and predictive modeling.
  • Strong verbal and written communication skills with a team-oriented mindset, capable of working effectively with cross-functional teams.
  • Keen scientific curiosity with a commitment to staying updated on industry trends and best practices.
  • Familiarity with data structures, data modeling, and software architecture principles.
  • Develop Scalable AI Solutions: Design, build, and maintain efficient machine learning models and full-stack solutions from prototype to production, optimizing performance, scalability, and cost.
  • Cross-functional collaboration: Work closely with data scientists, software engineers, and product managers to integrate AI models into broader software systems, ensuring seamless functionality.
  • Data Analysis & Model Building: Analyze large datasets, develop predictive models, and apply advanced statistical techniques to address client-specific challenges.
  • Optimize Performance: Continuously improve existing systems and algorithms for speed, efficiency, and reliability.
  • Cloud Services Integration: Utilize cloud platforms (AWS, Google Cloud, Azure) to deploy and scale AI solutions, leveraging services that enhance performance and cost-effectiveness.
  • Stay on the Cutting Edge: Stay informed about the latest AI and machine learning trends and technologies, ensuring that Creai remains competitive.
  • Documentation & Communication: Document development processes and present technical results to technical and non-technical stakeholders.

AWSPythonSQLCloud ComputingData AnalysisFull Stack DevelopmentJavaMachine LearningPyTorchSoftware ArchitectureAzurePandasTensorflowCommunication SkillsRESTful APIsScalaData modeling

Posted 18 days ago
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🔥 Data Architect
Posted 5 months ago

📍 Mexico

🧭 Full-Time

🔍 AI consulting and custom software development

  • Proven experience as a Data Architect with expertise in Microsoft Azure data services.
  • Strong understanding of data management principles, data modeling, and data integration techniques.
  • Hands-on experience with Azure Data Factory, Azure SQL, Cosmos DB, Azure Synapse Analytics, and other Azure cloud-based data tools.
  • Proficiency in building and maintaining data pipelines, data lakes, and data warehouses.
  • Experience with ETL processes and tools to automate and optimize data flows.
  • Strong knowledge of SQL, as well as experience with NoSQL databases.
  • Familiarity with data governance, security standards, and best practices for data architecture in cloud environments.
  • Excellent problem-solving and analytical skills, with the ability to work in a fast-paced environment.
  • Bachelor’s degree in Computer Science, Data Science, Information Technology, or a related field, or equivalent experience.
  • Design and implement data architectures that support AI and machine learning solutions, ensuring scalability, reliability, and performance.
  • Lead data integration efforts, including data pipelines, data warehouses, and data lakes, using Microsoft Azure services.
  • Work closely with cross-functional teams to ensure that data architecture meets business and technical requirements.
  • Optimize database performance, troubleshoot issues, and ensure data security and governance in compliance with industry standards.
  • Implement ETL processes, and manage data storage solutions such as Azure SQL, Cosmos DB, or Data Lake Storage.
  • Leverage Azure services like Azure Data Factory, Azure Synapse Analytics, and Azure Databricks to build and maintain robust data pipelines.
  • Maintain and document data models, architectural guidelines, and best practices to ensure consistent data architecture across projects.
  • Monitor and optimize data architectures to improve efficiency and cost-effectiveness in Azure environments.
  • Stay updated on new Azure data services and industry best practices.

SQLApache AirflowApache HadoopArtificial IntelligenceETLHadoopMachine LearningMicrosoft AzureAirflowAzureData scienceNosqlSparkAnalytical Skills

Posted 5 months ago
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