Senior Java AI Engineer

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.