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In this deeply technical role, you will design, build, integrate, and operationalize modern software and AI-driven capabilities across internal platforms and client-facing products. You will work with innovative technologies, contribute to complex algorithmic design, and drive engineering excellence in a high-performance, data-intensive environment. Your expertise in core Java, Python, CI/CD tools, microservices, and RDBMS will be essential in delivering high-quality products and supporting the organization's AI adoption journey.\nMissions\nDesign, develop, and maintain complex Java and Python applications, embedding AI-powered features into mission-critical systems.\nLead projects end-to-end through requirements, design, development, testing, deployment, and operations, ensuring high-quality product delivery.\nEstablish engineering best practices for safe, scalable, traceable, and production-ready AI deployments across internal platforms and external product suites.\nProfil recherché\n - Expertise in:- Core Java, Python\n- CI/CD tools (Jenkins/GitLab), DevOps automation\n- Establish engineering best practices for safe, scalable, traceable and production ready AI deployments across internal platforms and external product suites\n- JVM profiling & performance optimisation\n- Good command of coding standards and Strong understanding of both high level and low level software design\n- Microservices, REST APIs\n- Strong algorithms, data structures, problem solving skills, and ability to translate business problems into scalable solutions\n- Support the organisation’s AI adoption journey. Develop and enhance intelligent solutions using LLMs, LangChain/LangGraph, and agentic AI frameworks\n- RDBMS (Oracle/SQL Server/Postgres)\n- Docker, Kubernetes\n- Building highly distributed, data intensive systems\n- 12+ years of hands-on backend software engineering experience\n- Prior exposure to Level 3 production support\n- A proactive, creative engineering leader who enjoys solving complex problems, working hands-on with modern technologies, and driving AI enabled innovation. 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