Senior Full-Stack Developer (.NET, React & AI)

• 8+ years of experience in software development
• 5+ years of hands-on experience with .NET
• 3+ years of experience with React (or a comparable modern front-end framework), including building configurable and data-driven user interfaces
• Proven hands-on experience with AI technologies and tools
• Strong understanding of software architecture principles, including microservices, design patterns, and extensible front-end architectures
• Demonstrated experience leading the transformation of purpose-built applications into generic, configuration-driven, and data-driven front-end solutions
• Excellent leadership, stakeholder management, and communication skills, with the ability to align front-end and back-end teams around a common architectural vision
• Advanced level of English

RESPONSIBILITIES

• Lead the delivery of an AI-native Reporting Service that enables the creation, management, and execution of PDF reporting templates with dynamic data binding and token replacement
• Own the end-to-end solution architecture, ensuring scalability, maintainability, security, and alignment between business requirements and technical implementation
• Drive requirements analysis by defining user stories, acceptance criteria, dependencies, and translating business needs into actionable development plans
• Orchestrate AI-driven software delivery by breaking down requirements into well-defined tasks, guiding autonomous development agents, and ensuring effective execution across the solution
• Review, validate, and approve AI-generated code, designs, test artifacts, and technical deliverables to ensure compliance with architectural standards, coding guidelines, and quality expectations
• Ensure the Reporting Service supports flexible template definitions, reusable reporting components, and seamless integration with data sources and downstream systems
• Establish and promote engineering best practices, including AI-native development workflows, code quality standards, documentation requirements, and governance processes
• Define and maintain comprehensive quality strategies, ensuring appropriate unit, integration, and end-to-end test coverage is designed, generated, and validated throughout the AI-driven delivery lifecycle
• Verify that all delivered features meet both functional and non-functional requirements, including performance, reliability, maintainability, and security standards
• Collaborate closely with product owners, architects, domain experts, and other stakeholders to clarify requirements, resolve ambiguities, and drive key technical decisions
• Create and maintain technical documentation, architectural diagrams, implementation guidelines, decision records, and governance artifacts supporting successful project delivery