LYNX PROCESS

• Develop and maintain web applications using the technologies adopted by the company. • Use generative AI tools to accelerate the software development cycle. • Create and refine prompts for code generation, testing, documentation, and automations. • Review, validate, and improve code produced by AI tools. • Identify opportunities to automate repetitive tasks using AI agents. • Contribute to defining best practices for AI-assisted development. • Develop automated tests and ensure the quality of delivered solutions. • Produce technical documentation using AI resources when appropriate. • Share knowledge and train the rest of the team in efficient use of AI tools.

• Provide technical support and assistance to clients by analyzing and resolving incidents. • Investigate issues in applications, integrations, and databases. • Log, track, and prioritize support tickets, ensuring SLA compliance. • Identify root causes of issues and propose corrective and preventive actions. • Support onboarding of new clients, modules, and features. • Perform system configurations, parameterizations, and validations. • Gather requirements from clients for minor enhancements and improvements. • Prepare functional and technical documentation. • Support user acceptance testing and validation of new features. • Act as a liaison between clients and the development team. • Monitor project execution, tracking schedules and deliverables. • Deliver system training and presentations to users when required. • Contribute to continuous improvement of support and implementation processes.

• Serve as a systems developer • Assist in defining, communicating, and implementing architecture and integrations aimed at scalable, sustainable systems • Work on modeling and developing interfaces • Contribute to the technical upskilling of the development team • Promote knowledge sharing and introduce best practices and new technologies

• Develop technological research projects and implement industrial information systems (MES, LIMS, PIMS, plant-to-business systems integration, mobile solutions), including configuring data collection. • Integrate these systems with clients' corporate systems (e.g., ERP), enabling the sharing of relevant operational process data and contributing to greater speed and reliability in generating the information that supports decision-making within the company.