Senior Java AI Engineer

Publicis Sapient; Colombia; Presencial; COP 12.000.000 - 22.000.000; Jornada completa

Descripción de la vacante

Publicis Sapient is seeking a Senior Java Engineer with experience in AI-augmented engineering to design and scale production-grade backend platforms. You will build cloud-native services using Java (Spring Boot) and collaborate with product teams to deliver robust APIs and microservices.

This hands-on role focuses on real systems and distributed architectures, embracing AI coding agents to accelerate delivery, improve tests, and enhance performance while applying CI/CD, observability, and cloud

Formación

• 7+ years of experience building and deploying backend or distributed systems.
• Strong expertise in Java, Spring, Spring Boot, and REST API design.
• Experience with microservices and scalable backend architectures.
• Hands-on experience using AI coding assistants in daily workflows.
• Ability to use AI tools to generate/refactor code, write tests, debug issues, and scaffold services.
• Solid understanding of cloud platforms (AWS, GCP, or Azure) and DevOps fundamentals.
• Strong debugging, problem-solving, and software craftsmanship mindset.
• Experience working in agile product teams delivering production systems.

Responsabilidades

• Design and build scalable backend services and APIs using Java and Spring Boot.
• Leverage AI coding agents to generate code, accelerate delivery, improve test coverage, and optimize performance.
• Implement clean, resilient REST APIs and microservices for enterprise-grade applications.
• Collaborate with product managers, architects, and cross-functional teams to deliver production-ready solutions.
• Apply modern engineering practices including CI/CD, automated testing, observability, and cloud deployment.
• Debug complex backend issues using both traditional engineering and AI-assisted diagnostics.
• Contribute to AI-augmented development practices, including prompt engineering and safe usage of AI-generated code.

Conocimientos

Java

Spring Boot

REST APIs

Microservices

AI coding assistants

Cloud platforms

DevOps fundamentals

Agile teams

Herramientas

GitHub Copilot

Claude

Cursor

Docker

Kubernetes

Descripción del empleo

Publicis Sapient is looking for a Senior Java Engineer with experience in AI-augmented engineering to build and scale production-grade backend platforms. In this role, you will focus on designing and delivering robust, cloud-native backend services using Java (Spring Boot), while leveraging AI coding agents (e.g., GitHub Copilot, Claude, Cursor) to accelerate development and improve code quality.

This is a hands-on role centered on real systems, APIs, and distributed architectures-not prototypes-while contributing to emerging best practices for AI-assisted software development.

Your Impact

• Design and build scalable backend services and APIs using Java and Spring Boot.
• Leverage AI coding agents to generate code, accelerate delivery, improve test coverage, and optimize performance.
• Implement clean, resilient REST APIs and microservices for enterprise-grade applications.
• Collaborate with product managers, architects, and cross-functional teams to deliver production-ready solutions.
• Apply modern engineering practices including CI/CD, automated testing, observability, and cloud deployment.
• Debug complex backend issues using both traditional engineering and AI-assisted diagnostics.
• Contribute to AI-augmented development practices, including prompt engineering and safe usage of AI-generated code.

Qualifications

Skills & Experience

• 7+ years of experience building and deploying backend or distributed systems.
• Strong expertise in Java, Spring, Spring Boot, and REST API design.
• Experience with microservices and scalable backend architectures.
• Hands-on experience using AI coding assistants (e.g., GitHub Copilot, Claude, Cursor) in daily workflows.
• Ability to use AI tools to generate/refactor code, write tests, debug issues, and scaffold services.
• Solid understanding of cloud platforms (AWS, GCP, or Azure) and DevOps fundamentals.
• Strong debugging, problem-solving, and software craftsmanship mindset.
• Experience working in agile product teams delivering production systems.

Set Yourself Apart With

• Experience integrating LLMs into applications (RAG, prompt engineering, embeddings, agent workflows).
• Experience with event-driven architectures (Kafka, Kinesis, Pulsar).
• Familiarity with containerization and orchestration (Docker, Kubernetes).
• Experience designing scalable, observable backend systems (logging, metrics, tracing).
• Contributions to open-source projects, internal accelerators, or AI engineering communities.