49 English-speaking jobs in Linz

Platform Performance Engineers partner with engineering teams to monitor, analyze, and optimize performance across complex distributed systems. They leverage AI tools and agent-based workflows to accelerate root cause analysis and reduce manual toil.

Design and build evaluation and simulation capabilities for AI agents at Dynatrace. Responsibilities include defining metrics, datasets, and judging strategies, building infrastructure for agent simulations, and developing developer-facing CLIs for AI Observability data.

Design, develop, and maintain high-performance Go-based backend services for a multi-tenant AI agent platform. Own platform identity and access, including authentication, session/token lifecycle, and secure credential granting. Enforce multi-tenant data isolation and harden the platform against web vulnerabilities and AI-specific threats.

Senior Engineer will own the path of telemetry from AI workloads into Dynatrace. Responsibilities include building and maintaining the ingest path for OpenTelemetry traces, metrics, and logs from GenAI applications, agents, and frameworks. The role also involves testing and supporting integrations across the AI SDLC, partnering with the OneAgent team, and pushing GenAI semantic conventions forward.

Define and build the marketing function for a well-funded AI startup. Own end-to-end marketing strategy, develop positioning and messaging, and execute growth experiments. Build a brand presence in the AI market and establish key performance metrics. Proven experience building marketing in an early-stage startup is required.

Lead feature developments end-to-end for cross-platform agents that capture performance data from applications built with React Native, Flutter, .NET MAUI, and Cordova. Conduct research and deep technical investigations to push the boundaries of what is possible within React Native internals.

Submit an unsolicited application to ILF Austria Talent Pool and indicate your preferred department and office. Briefly share your professional focus and desired weekly working hours.

Build advanced machine learning models, lead MLOps, and deliver scalable AI solutions integrated into core products.

Develop platform-independent functionalities for TeamViewer's client and services using C++. Optimize software with new algorithms and technologies. Collaborate in a Scrum development team and ensure code quality.

Design, implement, and optimize software features across platforms. Define architecture, mentor junior developers, and stay current with technical trends.

Design, implement, and optimize Java software features across platforms. Define architecture, enhance performance, and mentor junior developers.

Drive software quality through test automation, CI/CD validation, and AI-enhanced QA. Write, review, and execute test plans, ensuring thorough coverage of requirements and use cases. Collaborate with QAs, developers, and scrum teams.

Design, build, and maintain data systems for analytics and AI applications. Develop and optimize data pipelines, implement data retrieval pipelines, and ensure data quality. Collaborate with AI Engineers and Software Engineers to translate business requirements into data solutions.

Lead and mentor a cross-functional AI team in the design, development, and deployment of AI models and systems, including LLMs. Manage project timelines, resources, and deliverables in an agile setup. Collaborate with stakeholders to align AI initiatives with strategic goals.

Lead an agile full-stack team, ensuring high code quality and technical excellence. Provide technical guidance, support sprint execution, and mentor team members.

Shape scalable, secure AI architectures and ensure high-performance systems across the user journey. Design, develop, and implement solutions aligning with business goals. Lead technical discussions, mentor team members, and provide strategic advice on complex technical challenges.

Data Scientist to frame problems, engineer text data, build AI models, and collaborate with ML teams for production deployment. Requires 3+ years of experience, Python proficiency, and expertise in ML libraries and deep learning frameworks.

Drive the impact of AI solutions by bridging customer needs, internal stakeholders, and product strategy. Lead change management initiatives, improve product management processes, and facilitate innovation workshops. Collaborate with PMs and engineers to deliver AI features.

Collaborate with stakeholders to analyze business processes, identify automation opportunities, and design optimized workflows. Utilize process mapping tools like SAP Signavio and contribute to agile development initiatives.

Design, develop, and iterate on digital products and prototypes in areas such as learning technology and internal innovation initiatives. Architect and implement scalable software systems across frontend and backend components. Collaborate with product, design, and data teams to translate ideas into effective solutions and prototypes. Develop and integrate AI/ML-powered features.