Engineering állások, munkák programozó, fejlesztő kategóriában

• Work hands-on on an AI-driven proof-of-concept for core after-sales processes
• Support the implementation and testing of PoC components such as data products, machine learning models, agent workflows, or UI elements

• Design, implement and continuously improve DevOps concepts, CI/CD templates, pipelines and automation for SAP landscapes (e.g. SAP BTP, S/4HANA)
• Enable reliable build, test and deployment processes across SAP Cloud and on-premise environments

• Architecture of Cloud-native AI applications integrating LLMs, vector search, and real-time data
• Design of End-to-end web solutions from frontend to backend
• Implementation of RAG pipelines, model serving, and AI agents in production
• Leadership of Cross-functional teams (Full-stack, AI, Data)

• Design and own secure, scalable services
• Guide technical decisions and evaluate trade-offs including AI-driven components
• Leverage AI tools to accelerate coding, debugging, testing, and prototyping

• Closely follow the latest AI research and technology developments, identify relevant advances, and assess their practical potential for enterprise use cases
• Rapidly prototype and test new methods, architectures, and system patterns against realistic business problems, workflows, and data

• Design, develop, and implement complex and scalable data solutions on the AWS cloud platform
• Design, build, and optimize data pipelines to ensure efficiency and reliability
• Write clean, efficient, and maintainable SQL and Python code
• Develop and maintain shell scripts to support automation

• End-to-end implementation of data pipelines and GenAI applications on Databricks
• Design and maintenance of CI/CD, model serving, monitoring, and evaluation frameworks for AI production reliability
• Tuning of complex Spark jobs and LLM inference patterns for performance optimization

• Design, develop, and maintain multimedia middleware components
• Build, integrate, and optimize GStreamer-based audio/video pipelines
• Integrate media components with user-space applications and system services
• Debug and resolve complex media issues related to performance, stability, and synchronization

• Setting the technical direction for AI-enabled platform
• Architecting secure, scalable, serverless systems on AWS
• Defining patterns and governance practices for multiple teams
• Guiding AI value addition across the stack
• Mentoring senior engineers
• Leading org-wide design decisions

• Design and implement modern data architectures and lakehouse solutions
• Provide technical leadership throughout the project lifecycle
• Collaborate with business stakeholders
• Create effort estimations and provide technical expertise during the pre-sales phase
• Mentor 3-6 person project teams

Team Leadership: You lead and develop a highly skilled team of developers working on cutting-edge Embedded AI and Edge AI solutions, fostering technical excellence, collaboration, and innovation in one of the most challenging areas of artificial intelligence....

• Assisting the CG Supervisor/Creative Director and Art Director to fulfill their creative vision by producing quality character, set, and prop rigs and models
• Scripting solutions for CG projects

• Design and implement Data Pipelines in Snowflake
• Develop ingestion pipelines from various sources via Snowpipe and other means
• Create data transformations with SQL, Python, PaaS and 3rd party tools such as dbt
• Optimize existing pipelines and transformations for cost, load time, and maintainability

• Leading a team of 2-3 AI and cloud engineers focused on fast prototyping of AI/ML solutions in AWS cloud
• Providing mentoring and technical support to junior and medium teammates
• Acting as a trusted advisor to clients
• Developing highly scalable services realizing AI/ML functionalities

• Support our Web Component Development team in building, testing, and maintaining reusable frontend components for digital products and platforms
• Contribute to the implementation of modern, scalable, and user-centered frontend solutions using web technologies

Software Developer C++/Qt CASCINATION is a Swiss medical device company with a mission to bring certainty to medical treatment outcomes. Our robotic and image-guided solutions enable clinicians to perform reproducible and efficient interventions, that deliver quality outcomes from minimally...

• Develop and maintain our python-based model-agnostic AI agentic backend, managing connections between plugins and other components of the system
• Create and develop a plugin infrastructure of agents, MCPs, skills of our internal and external services under our core platform

• ensure that our Private Cloud landscape is equipped with robust, efficient, secure, and scalable custom developments.
• You will collaborate closely with functional experts, architects, integration teams, and business stakeholders to turn requirements into clean, stable, and maintainable SAP solutions.

As a PhD candidate with us, you will dive deep into the world of agentic AI systems and contribute significantly to the development of intelligent solutions for real-world challenges, combining cutting-edge research with direct industrial impact....

• Work with a wide range of systems, processes and technologies to own and solve problems from end-to-end
• Uphold high engineering standards and bring consistency to the many codebases and processes you will encounter
• Work with engineers across the company to build new features at large-scale