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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Jobs at this company:

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🔥 Software Engineering Manager

Posted 11 days ago

📍 México, Colombia, Costa Rica

🧭 Full-Time

🔧 Requirements

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.

💡 Responsibilities

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 11 days ago

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🔥 Delivery Manager

Posted 13 days ago

📍 México, Colombia, Costa Rica

🧭 Full-Time

🔍 AI

🔧 Requirements

8+ years of software development experience.
4+ years in engineering management, leading multiple teams.
Strong technical background with modern software architectures.

💡 Responsibilities

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 13 days ago

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🔥 Senior Full Stack AI Engineer

Posted 20 days ago

📍 Worldwide

🧭 Full-Time

🔍 AI

🔧 Requirements

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.

💡 Responsibilities

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 20 days ago

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🔥 Junior Full Stack AI Engineer

Posted 20 days ago

📍 Worldwide

🧭 Full-Time

🔍 AI

🔧 Requirements

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.

💡 Responsibilities

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 20 days ago

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🔥 Data Architect

Posted 5 months ago

📍 Mexico

🧭 Full-Time

🔍 AI consulting and custom software development

🔧 Requirements

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.

💡 Responsibilities

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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