It infrastructure engineer állások Külföldön (programozó, fejlesztő)

• Design and implement ServiceNow applications and workflows for our enterprise customers.
• Configure and customize modules such as ITSM and ITOM (must-have), as well as HRSD, CSM, or App Engine.
• Develop custom applications using JavaScript, Glide, Flow Designer, and IntegrationHub.

• You will take overall technical responsibility for complex, cross-functional AI initiatives - from requirements analysis through to implementation.
• You will independently identify, evaluate and manage AI-related projects.

• Collaborate with cross-functional teams to define data requirements and ensure data quality
• Support the data engineering team in reconciling data between the new and the legacy systems
• Participate in monitoring, troubleshooting, and resolving data processing issues

Analyze requirements and develop solution concepts for data exchange between defined IT systems and the management of business processes in the cloud...

• New development and extension of our applications in the area of control systems and business intelligence applications in intralogistics
• Development of concepts and architecture-compliant solution proposals
• Taking responsibility for new features and applications in WCS and MHE software services

• Embedded C : Hardware-related software development in C
• Collaboration with international software development teams
• Tests and documentations to ensure quality
• Software Launches and troubleshooting

• You create advanced AI approaches for general-purpose robotics, with a focus on robotic foundation models.
• Furthermore, you train, finetune, evaluate, and deploy models such as vision-language-action architectures.

As Lead Engineer (f/m/d)* Backend, you will take over the strategic, technical and disciplinary responsibility for one engineering team on our Agent Platform....

• You own the strategy and roadmap for domain specific foundation models; align with engineering and production leaders.
• You build and adapt large language, reasoning, and multimodal models for automation at scale.

• You build and adapt large language, reasoning, and multimodal models for automation across engineering, manufacturing, and robotics.
• In addition, you create data flywheels and scalable data pipelines, define and curate high-quality fine-tuning datasets, and design efficient annotation workflows.

Analysis: you will support our partners in innovative projects and develop customized technological concepts that make our processes easier and more efficient....

• Research, design, and implement complex product features and functionalities for cutting-edge cloud technologies as part of SAP Business Technology Platform
• Commit to project timelines and tasks, deliver on time, in scope, and with high, uncompromised quality

Collaborate as part of a cross-functional AI Platform team with Software Engineers, SREs, and internal AI customers (e.g. Data Scientists and Backend Engineers)....

• You develop and operate scalable, secure, and high-performance AI platforms in modern cloud environments.
• Additionally, you support the entire AI lifecycle - from data preparation through development and training to the productive operation of machine learning and generative AI solutions.

• Write automated test scripts based on received specifications
• Continuously increase the automation coverage
• Ensure automated test cases to run without failures
• Execute test cases and conduct detailed analysis and validation
• Enhance the automation framework
• Support implementing/maintaining/improving CI/CD

• Implement and productionise ML-based services using Sagemaker
• Work on NLP and LLM projects, applying your expertise to contribute to and build on our existing solutions.
• Utilize IaC and CI/CD best practices to increase the efficiency in deployment and management of resources.

Lead the design, development, and evolution of suena's backend and API infrastructure—ensuring scalability, performance, and reliability as our platform grows....

• Analysis of business needs and proposal of high value-added solutions
• Establish technical specifications and division of technical tasks
• Software development within the team based on skills/affinities
• Managing integrations, gathering business feedback, and making the necessary adjustments

• Work closely with world leading experts in the field of Machine Learning and Video Editing
• Directly work in the core processing, render and ML code of our video and audio applications.
• Enhance your skills to remain at the forefront of the newest development, testing, and deployment techniques

• Design, implement, and maintain high-performance, scalable backend services that power our platform.
• Work on resilient distributed systems using Kafka for event-driven workflows and Redis for real-time, fast data access and caching.