21 days ago
Vienna, AustriaStaff+
Responsibilities
- Build and integrate AI-powered application features, including LLM workflows, retrieval-augmented generation, agent integrations, and data-driven user experiences.
- Translate complex product and client needs into technical designs and sustainable implementation plans.
- Contribute to architecture, integration patterns, performance, reliability, and maintainability of components and services.
- Apply relevant AI technologies and patterns pragmatically while helping shape the team’s AI application practices.
- Improve engineering quality through code reviews, design reviews, automated testing, CI/CD, observability, and secure development practices.
- Design evaluation frameworks for AI output quality and production monitoring.
- Lead technical work, mentor junior colleagues, share knowledge, and help improve engineering processes and capabilities.
Requirements
- At least 5 years of experience with C#/.NET and backend development in enterprise or product software environments.
- Strong understanding of object-oriented design, clean code, API design, integration patterns, and maintainable software architecture.
- Experience with automated testing, code reviews, CI/CD, Git-based workflows, and modern engineering practices, preferably using Azure DevOps.
- Experience with cloud-based development and services, preferably Azure.
- Practical understanding of AI application development, including LLM solutions, prompting strategies, retrieval-augmented generation, agentic workflows, evaluation methods, and LLM limitations.
- Experience with cloud-based data platforms, preferably Snowflake.
- Experience leading technical work, shaping designs, and owning important components or services.
- Ability to mentor junior colleagues, break down ambiguous problems, communicate clearly, and collaborate across disciplines and locations.
- Experience in fintech, financial services, investment management, or another regulated industry is preferred.
- Experience designing evaluation frameworks for AI output quality and production monitoring is preferred.
Benefits
- Attractive salary, bonus scheme, and pension.
- Flexible working hours and a hybrid workplace model, with two days per week in the office and remote work on other days.
- Three weeks per quarter for IP sprints focused on skill development and company development.
- Personalized professional development support.
- Applications must be submitted in English through the company career site; applications are processed continually.
Categories
