Senior Applied AI Engineer

Job description

Founded in 1999 in Vienna, the Qualysoft Group is a manufacturer-independent IT consulting and services company, which successfully provides support for its international customers with the aim of boosting their competitiveness and economic efficiency through innovative IT solutions. Its focus is on financial services providers, telecommunications companies, the automotive industry and energy service providers. Over 400 employees in 6 subsidiaries work together to ensure state of the art solutions for our clients. We are looking for new colleagues in Qualysoft teams for diverse projects providing continuous learning opportunities. Our common goal is to provide honesty, development and a stable background while getting to know the latest technologies. We are waiting for your application for the position below! We are seeking an experienced **Applied AI Engineer** to join an AI-first enablement team focused on transforming enterprise architecture through automation, internal tooling, lightweight applications, and Generative AI solutions. This is a hands-on engineering role for a strong software developer with deep Python expertise who can design, build, and deliver scalable, production-grade solutions. The ideal candidate combines solid software engineering fundamentals with practical experience leveraging AI technologies to solve complex business problems. ### Responsibilities: - Partner with senior technologists and business stakeholders to identify automation opportunities and improve existing workflows. - Design, develop, and maintain internal applications, APIs, dashboards, AI agents, and automation solutions. - Build and deploy AI-enabled products using modern Generative AI technologies and frameworks. - Translate emerging AI trends, risks, and architectural patterns into practical governance and enablement tools. - Utilize AI coding assistants (e.g., GitHub Copilot, Cursor, Claude, Codex) to accelerate software development while maintaining engineering best practices. - Review, test, debug, refactor, and optimize AI-generated and manually written code. - Design efficient data models, database schemas, and scalable data access patterns. - Rapidly prototype new ideas, gather user feedback, and iterate on solutions. - Establish reusable frameworks, integrations, standards, and guardrails for responsible AI adoption. - Support and mentor stakeholders in the safe and effective use of AI-assisted development practices. ### Requirements: - 7+ years of professional Python software development experience. - Strong understanding of software architecture, design patterns, testing, maintainability, and scalable application development. - Experience building APIs, automation solutions, internal tools, or web applications using modern Python frameworks. - Solid knowledge of SQL, database design, and data modeling. - 2+ years of hands-on experience with Generative AI technologies, including LLMs, AI agents, RAG, and workflow orchestration. - Experience leveraging AI-assisted development tools (e.g., GitHub Copilot, Cursor, Claude) while maintaining high engineering standards.Familiarity with modern AI frameworks and technologies such as LangGraph, Agent SDKs, vector databases, and retrieval systems. - Strong problem-solving, communication, and stakeholder management skills. - Ability to work independently, navigate ambiguity, and deliver practical solutions in a fast-paced environment. - A builder mindset with a passion for creating high-quality, impactful products.