Senior AI Full Stack Engineer

New
C
CoforgeSoftware Engineering
Latin AmericaFull-TimeSenior
Salary not disclosed
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Job Details

Experience
+5 years
Required Skills
GraphQLNode.jsPythonAzureReactRESTful APIsScalaDatabricks

Requirements

  • Experience with AI-augmented development, such as Vibe Coding or comparable frameworks.
  • Exposure to modern AI/ML pipelines for personalization, segmentation, or content automation.
  • Strong proficiency in Scala, Databricks, Spark SQL, Spark Streaming, and Python.
  • Cloud engineering experience with Azure services, including Azure Data Factory.
  • Advanced system design capabilities, including event-driven architectures and distributed design patterns.
  • Full-stack engineering experience with frontend frameworks such as React, Angular, or Vue.
  • Backend development experience using Node.js, Python, Java, or similar technologies.
  • Experience designing RESTful and GraphQL APIs.
  • Experience with CI/CD pipelines supporting full-stack deployments.
  • Proven ability to lead engineering teams in a fast-paced, cross-functional environment.
  • Strong communication and stakeholder alignment skills.

Responsibilities

  • Develop high-performance big-data applications using Scala, Databricks, Spark SQL, Spark Streaming, and Python.
  • Build and optimize cloud-native data pipelines on Azure, including Azure Data Factory (ADF) for ingestion, transformation, and orchestration.
  • Build and maintain full-stack applications using modern JavaScript frameworks such as React, Angular, or Vue, along with backend services using Node.js, Python, or Java.
  • Implement robust APIs and microservices integrating MarTech systems with customer-facing platforms.
  • Apply modern design patterns to ensure reliability, maintainability, and scalability across distributed systems and full-stack architectures.
  • Drive AI-assisted engineering practices, including Vibe Coding and other generative AI development accelerators.
  • Collaborate with product, marketing, and data teams to translate business needs into robust technical solutions across data and application layers.
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