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.
Skills Required
- Experience with AI-augmented development (e.g., Vibe Coding or comparable frameworks)
- Exposure to modern AI/ML pipelines for personalization, segmentation, or content automation
- Proficiency in Scala
- Experience with Databricks
- Experience with Spark SQL
- Experience with Spark Streaming
- Proficiency in Python
- Cloud engineering experience with Azure, including Azure Data Factory
- Advanced system design skills, 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, or Java
- Experience designing RESTful and GraphQL APIs
- Experience implementing microservices
- Experience with CI/CD pipelines supporting full-stack deployments
- Proven ability to lead engineering teams in fast-paced, cross-functional environments
- Strong communication and stakeholder alignment skills
- Experience with large-scale marketing ecosystems (ESP, CDP, personalization engines, real-time decisioning)
- Background in high-volume data processing for customer engagement or growth marketing
- Familiarity with DevOps practices, observability, and automated testing across data and application stacks
Encora Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Encora and has not been reviewed or approved by Encora.
-
Healthcare Strength — Health coverage is described as employer-provided in multiple locations, with private plans and family coverage highlighted in Spain and Mexico. Medical insurance quality is presented as a recurring bright spot alongside standard coverage.
-
Leave & Time Off Breadth — Time off includes paid holidays and PTO, with regional materials indicating additional leave provisions in certain countries. Leave is generally portrayed as conventional to generous depending on location.
-
Flexible Benefits — Work-from-home flexibility is frequently highlighted as a plus, though it varies by role and client needs. Remote and hybrid options are positioned as part of the overall package.
Encora Insights
What We Do
Headquartered in Santa Clara, California, and backed by renowned private equity firms Advent International and Warburg Pincus, Encora is the preferred technology modernization and innovation partner to some of the world’s leading enterprise companies. It provides award-winning digital engineering services including Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering. Encora's deep cluster vertical capabilities extend across diverse industries, including HiTech, Healthcare & Life Sciences, Retail & CPG, Energy & Utilities, Banking Financial Services & Insurance, Travel, Hospitality & Logistics, Telecom & Media, Automotive, and other specialized industries. With over 9,000 associates in 47+ offices and delivery centers across the U.S., Canada, Latin America, Europe, India, and Southeast Asia, Encora delivers nearshore agility to clients anywhere in the world, coupled with expertise at scale in India. Encora’s Cloud-first, Data-first, AI-first approach enables clients to create differentiated enterprise value through technology
