Analyses, designs, programs, debugs, and modifies software enhancements and/or new products used in local, networked, cloud-based or Internet-related computer programs. Code may be used in commercial or end-user applications, such as materials management, financial management, HRIS, mobile apps or desktop applications products. Using current programming language and technologies, writes code, completes programming, and performs testing and debugging of applications. Completes documentation and procedures for installation and maintenance. May interact with users to define system requirements and/or necessary modifications. Job purpose: Design, implementation and testing of software applications including LLM-based agents using the Transporeon technology stack. Main tasks: Work in a cross-functional team with product managers, user experience designers and other software developers. Work in an agile environment, planning and executing sprints, meeting strict deadlines, and efficiently handling production issues across multiple time zones. Contribute knowledge and experience to the continuous development and improvement of our platform and drive sharing. Act as a senior advisor using experiences to lead colleagues, train juniors. Ensure security, data integrity and data protection aspects Creation of documentation. Debug and resolve technical issues; act as 3rd level support Drive to translate high-level product requirements into scalable, modular software designs that adhere to modern design principles, microservices architecture, and cloud-native best practices. Architect Generative AI-based features leveraging Large Language Models, RAG frameworks, MPC or agent orchestration. Implement them, including leading team members. Continuously engage in professional development and keep track of latest research, given that this is a fast evolving field Develop comprehensive test suites (unit, integration, and end-to-end) to ensure code quality and ensure that automated tests cover a high percentage of the codebase. Implement/Architect CI/CD pipelines and maintain code versioning in Git for seamless, frequent releases. Monitor performance, including services for LLM features such as Datadog and Databricks. Identify performance bottlenecks and support to resolve them.
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Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
Number of Employees
1,001-5,000 employees