Job Title: Senior AI Full Stack Engineer
Key Skills: Scala, Databricks, Spark SQL, Spark Streaming, Python, Azure, Azure Data Factory, Full-Stack Development, AI/ML, APIs, Microservices
Experience: +5 years of experience
Location: LATAM
Mode: Remote
We at Coforge are hiring a Senior AI Full Stack Engineer (22729) with the following skill set.
Key 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.
Required Skills & Qualifications
- 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, with the ability to translate technical concepts into business impact.
Preferred Skills
- Experience with large-scale marketing ecosystems, including ESP, CDP, personalization engines, or real-time decisioning.
- Background in high-volume data processing supporting customer engagement or growth marketing.
- Familiarity with DevOps practices, including CI/CD, observability, and automated testing across both data and application stacks.
Posted On: 13-08-2026
At Coforge, we hire professionals based solely on their skills and qualifications, and do not discriminate based on age, disability, religion, gender, sexual orientation, socioeconomic status, or nationality.
