Get AI-powered advice on this job and more exclusive features.
Employment Type:Contract-to-Hire (6 months with intent to convert to FTE)
Location:Remote, Mexico
OverviewWe are seeking aData Science / AI Software Engineerto join a global AI and data engineering team focused on building enterprise-grade generative and agentic AI applications.
The idóneo candidate brings asoftware engineering background with strong data experience —comfortable integrating large-language-model APIs and creating composable AI architectures rather than developing models from scratch.
Key ResponsibilitiesDesign, develop, and deployAI-driven applicationsleveraging generative and agentic AI capabilities.
Build scalablebackend and frontend componentsthat integrate with LLM APIs and enterprise data sources.
Develop and optimize data workflows usingSQLandPython.
Integrate AI solutions with data platforms and systems such asSnowflake, AWS, or GCP.
UtilizeDockerand modern development practices to create modular, composable solutions.
Automate and orchestrate data and AI pipelines to streamline business processes.
Apply best practices insoftware engineering —version control, modularity, and secure integration.
Collaborate with cross-functional teams including data engineering, data science, and strategy to implement practical AI-driven automation use cases.
QualificationsBachelor's degree inComputer Science, Software Engineering, or related field(or equivalent experience).
4–7 years of hands‐onsoftware engineering experience.
Proficiency inPythonandSQLfor backend and data operations.
Experience building AI applications oncloud data platforms(e.g., Snowflake Cortex, AWS Bedrock, Azure Open AI, or GCP Vertex AI).
Knowledge ofDocker , composable architecture, and API integration.
Familiarity withgenerative AI / agentic AIprinciples and LLM APIs.
Exposure tomachine learning techniques(classification, regression, clustering) a plus.
Excellent problem‐solving and communication skills.
Spanish or bilingual capability preferred but not required.