Company description Publicis Sapient is a digital transformation partner helping established organizations get to their future, digitally enabled state, both in the way they work and the way they serve their customers. We help unlock value through a start-up mindset and modern methods, fusing strategy, consulting, and customer experience with agile engineering and problem-solving creativity. United by our core values and our purpose of helping people thrive in the brave pursuit of next, our 20,000+ people in 53 offices around the world combine experience across technology, data sciences, consulting, and customer obsession to accelerate our clients’ businesses through designing the products and services their customers truly value. Overview We are looking for a Senior Full‑Stack Engineer who is equally strong in Java and React, and deeply curious about AI‑augmented engineering. In this role, you will build real, production-grade digital platforms while using AI coding agents (such as GitHub Copilot/Codex, Claude Artifacts, or similar) to accelerate delivery and improve code quality. You will work as a builder—shipping software that matters, not prototypes—and contribute to the emerging engineering patterns for AI-assisted development. Your Impact Design, build, and deploy full‑stack applications using Java (Spring/Spring Boot) on the backend and React on the frontend. Use AI coding agents (Copilot/Codex, Claude Artifacts, Cursor, etc.) to increase development velocity, generate scaffolding, write tests, and optimize code. Implement clean, scalable APIs and modular front‑end components to support enterprise‑grade digital products. Collaborate closely with product managers, architects, and designers to translate real client problems into shipped features. Apply modern engineering practices such as CI/CD pipelines, automated testing, clean code, performance tuning, and cloud-native deployment. Debug complex issues across the stack, using both traditional engineering practices and AI-assisted diagnostics. Contribute to engineering patterns and best practices for AI‑augmented development workflows. Qualifications Skills & Experience 5+ years of hands-on engineering experience building and deploying full-stack applications. Strong backend development using Java, Spring Boot, REST APIs, and microservices architectures. Strong frontend development skills using React, modern JavaScript/TypeScript, and component-based UI design. Experience using AI coding assistants (e.g., GitHub Copilot/Codex, Claude, Cursor, Code Interpreter) as part of the daily development workflow. Ability to demonstrate how you use AI agents to: generate or refactor code write or improve tests analyze logs/errors scaffold applications or design patterns Solid understanding of cloud platforms (AWS, GCP, Azure) and DevOps fundamentals. Strong debugging, problem‑solving, and software craftsmanship mindset. Comfort working in agile product teams focused on shipping real outcomes. Set Yourself Apart With Hands-on experience with LLM integration into applications (RAG, prompt engineering, embedding-based search, agent workflows). Experience with event-driven architectures (Kafka, Kinesis, Pulsar). Familiarity with containerization and orchestration (Docker, Kubernetes). Knowledge of modern front‑end build, testing, and performance optimization tools. Contributions to open-source projects, internal accelerators, or AI engineering communities. Additional information An inclusive workplace that promotes diversity and collaboration. Access to ongoing learning and development opportunities. Competitive compensation and benefits package. Flexibility to support work-life balance. Comprehensive health benefits for you and your family. Generous paid leave and holidays. Wellness program and employee assistance. As part of our dedication to an inclusive and diverse workforce, Publicis Sapient is committed to Equal Employment Opportunity without regard for race, color, national origin, ethnicity, gender, protected veteran status, disability, sexual orientation, gender identity, or religion. We are also committed to providing reasonable accommodations for qualified individuals with disabilities and disabled veterans in our job application procedures. If you need assistance or an accommodation due to a disability, you may contact us at hiring@publicis.sapient.com Skills & Experience 5+ years of hands-on engineering experience building and deploying full-stack applications. Strong backend development using Java, Spring Boot, REST APIs, and microservices architectures. Strong frontend development skills using React, modern JavaScript/TypeScript, and component-based UI design. Experience using AI coding assistants (e.g., GitHub Copilot/Codex, Claude, Cursor, Code Interpreter) as part of the daily development workflow. Ability to demonstrate how you use AI agents to: generate or refactor code write or improve tests analyze logs/errors scaffold applications or design patterns Solid understanding of cloud platforms (AWS, GCP, Azure) and DevOps fundamentals. Strong debugging, problem‑solving, and software craftsmanship mindset. Comfort working in agile product teams focused on shipping real outcomes. Set Yourself Apart With Hands-on experience with LLM integration into applications (RAG, prompt engineering, embedding-based search, agent workflows). Experience with event-driven architectures (Kafka, Kinesis, Pulsar). Familiarity with containerization and orchestration (Docker, Kubernetes). Knowledge of modern front‑end build, testing, and performance optimization tools. Contributions to open-source projects, internal accelerators, or AI engineering communities.
