i22 Digital Agency

Full-stack Engineer

• Clarify customer problems collaboratively and develop robust technical options
• Make value, effort, feasibility, and risks visible before building
• Develop production-ready solutions with AI agents
• Review relevant changes and take ownership of agent-generated code
• Work on legacy systems and new AI applications
• Ensure stable operations, measurable impact, and continuous improvement after go-live
• Own technical solutions from problem understanding through production operation
• Ensure code quality and approval, regardless of who or what created it
• Develop maintainable, tested, and traceable systems
• Make technical decisions within engineering standards
• Take responsibility for security, stability, and troubleshooting in production
• Own the architecture of a system or domain (Senior)
• Lead solution design in direct customer engagement (Senior)
• Make technical trade-offs between value, effort, and feasibility (Senior)
• Share knowledge and create reusable solutions for the team (Senior)
• Provide recommendations on standards, technical effort, feasibility, project priorities, operations, and impact
• Build and operate shops, self-service journeys, content management systems, and AI applications with a team of around 25 developers

Senior Software Engineer – Frontend, Backend, Full-Stack

LLM Engineer

• Translate product ideas into concrete technical solutions
• Assess architecture, models, interfaces, risks, and dependencies
• Develop production-grade AI applications and agentic systems
• Integrate AI applications into existing applications, data flows, and system landscapes
• Consider evaluation, monitoring, security, and costs from the outset and remain responsible for them after go-live
• Own the quality and release of production systems
• Make implementation decisions within engineering standards
• Turn AI ideas and prototypes into production-ready systems
• Take responsibility for what goes into production and how reliably it operates
• Ensure measurable impact after go-live
• As a Senior Engineer: Own the architecture of an AI system or domain
• As a Senior Engineer: Design solutions in direct collaboration with customers
• As a Senior Engineer: Share knowledge and create reusable solutions for the team
• Provide recommendations on deviations from standards, model selection with cost or data protection implications, and project priorities
• Submit a professional statement covering your motivation, challenges, overlooked aspects, and an LLM, RAG, or agentic application you played a significant role in developing or owning
• Describe how models, retrieval, tools, and agents were selected, integrated, evaluated, and operated after go-live

Senior Software Engineer – Frontend, Backend, Full-Stack

Senior AI Software Engineer – LLM Applications