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Use state of the art GenAI models and techniques to solve real world problems, which were hard to solve previously.
Work with Data at Scale: Leverage Databricks and Python to build robust data pipelines and analytics workflows that power AI-driven insights. Help shape the data foundation that enables intelligent architecture guidance.
Focus on Performance: Build scalable, responsive, and accessible solutions to ensure smooth user experience and backend efficiency.
Collaborate with Teams: Work closely with cross-functional teams, including Product Management, UI/UX, and other engineering teams, to deliver impactful, customer-centric solutions.
Enhance Our Tech Stack: Participate in discussions on industry trends and support the evolution of our tech stack and best practices.
Learn & Share: Grow your skills by collaborating with teammates and contributing to a culture of continuous learning and improvement.
4+ years of professional software engineering experience, preferable in backend development.
Experience in building business applications using modern Generative AI.
Advanced expertise in Python, with a strong background in developing and deploying LLM applications and AI-powered systems.
A practical experience in Data Engineering, ideally using Databricks, dbt, or similar tools.
Familiarity with REST API and GraphQL, designing data flow solutions at scale.
You strive in agile environments, driving high-impact projects to completion while maintaining a focus on delivering high-quality, scalable code.
Demonstrate strong collaboration skills, working seamlessly across teams and ensuring clear communication to achieve business and technical goals.
English language skills, both written and spoken.
Experience building AI Agents.
Familiarity with machine learning frameworks (e.g., Promptflow, TensorFlow, PyTorch) and integrating AI/ML models into production systems.
Experience with LLM fine-tuning and deploying custom AI models at scale.
Hands-on experience with Docker, Kubernetes, and setting up GitHub CI/CD pipelines.
Familiarity with Azure, or other cloud platforms for deploying and managing scalable backend applications.
AI Usage in the Recruitment Process
For information on the responsible use of AI in our recruitment process, please refer to our
Please note that any violation of these guidelines may result in disqualification from the hiring process.
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What you`ll do:
The Role:
As a Senior Full Stack Developer, you will design, implement, and maintain integrations with SAP REST APIs to help customers discover and manage their SAP application landscape. No prior SAP experience is required. Our backend is built with; we keep code in GitHub and use GitHub Actions to deploy to. The frontend uses. You will own features end-to-end—from design through deployment—working closely with Product, UX, and other engineers. You’ll help improve our architecture, increase test automation, and ensure high-quality code through reviews and continuous improvement. We value initiative: if you identify a better approach or tool, we want you to lead the change.
What you bring:
5+ years of professional backend or full stack development experience
Proficiency with NodeJS and TypeScript
Experience building user interfaces with any frontend library and willing to learn Angular
Experience building and operating scalable backend services
Proficiency with relational databases (Postgres preferred) and CI/CD
Clear and proactive communication in English
Successful candidates might be required to undergo a background verification with an external vendor.
AI Usage in the Recruitment Process
For information on the responsible use of AI in our recruitment process, please refer to our
Please note that any violation of these guidelines may result in disqualification from the hiring process.
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Responsibilities of the role:
Technical Skills Required:
Other Skills Required:
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What you´ll do
As part of the SAP Sustainability Integration Development team, you will:
What you bring
Job Segment:Test Engineer, Testing, Cloud, Developer, ERP, Engineering, Technology
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• ABAP Development: Utilize advanced ABAP and RAP programming techniques to design, develop and implement robust and scalable backend services, reports, interfaces, and workflows.
• Quality Awareness: Possess knowledge of ABAP Unit Tests and the ability to secure developments with effective tests.
• Performance Optimization: Identify and resolve performance bottlenecks, optimize code, and implement performance tuning techniques.
• Problem Solving: Troubleshoot and resolve complex technical issues, providing timely solutions.
• Documentation: Create clear and concise documentation for backend systems, APIs, and processes. Work together with user assistance to create and improve customer facing documentation.
• Collaboration: Work closely with adjacent development teams, product management, and other team members to understand requirements and deliver high-quality solutions.
• Experience in UI5/Fiori Development: Develop visually appealing and user-friendly UI applications using SAPUI5, SAP Fiori elements, and other relevant technologies.
• Proficiency in object-oriented ABAP, EML and RAP (managed and unmanaged)
• Knowledge of SAP S/4HANA and at least one of its core modules (e.g., MM, FI, CO, SD)
• Experience with APIs and OData services
• Experience with agile software development processes and implementation projects
• Solid understanding of database concepts, CDS views, DCLs and SQL
• Excellent problem-solving and analytical skills
• Familiarity with development processes within the S/4HANA Public Cloud environment (CFD, FBE, etc.)
• Familiarity with procurement processes and solutions
• Strong communication and interpersonal skill
AI Usage in the Recruitment Process
For information on the responsible use of AI in our recruitment process, please refer to our
Please note that any violation of these guidelines may result in disqualification from the hiring process.
Job Segment:Cloud, Developer, ERP, ABAP, Procurement, Technology, Operations
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What will you do
After a period of learning and ramping up required skills, you will take over responsibility for new and existing products that are crucial for successful customer operations in the public cloud.
In your role as a developer, your tasks will cover design, coding, testing, quality assurance and maintenance in the development process. As part of an inspired team of new colleagues you will gather a lot of knowledge about business processes which can be a key differentiator for your further career.
What you brin
You have a bachelor's or master's degree or PhD in (business) informatics, natural sciences, information systems, economics or in a comparable field.
You have already gained work experience that qualifies you to directly start as a developer.
You have relevant practical working experience in Software Development/Engineering, IT technologies and you can adapt quickly to new programming languages and technologies.
You have excellent communication skills both in Hungarian and in English, both verbal and written are essential.
What we offer
Broad expertise and cutting-edge product knowledge
Continuous development in a wide range of technology areas
Holistic customer view
Professional working environment in a team of highly motivated experts
Wide exposure to international projects
Excellent benefit package with long- and short-term incentives
Five-star office environment in Budapest
Endless sports opportunities
A hybrid working model, including working from home
Job Segment:Developer, Cloud, ERP, Testing, Accounts Payable, Technology, Finance
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1. Culture of collaboration:meet with mentors, make new friends across the globe and create a thriving personal network.
2. Project-driven experience:gain cross-functional skills from our virtual and in-person learning sessions, diverse subject matter experts, and project deliverables.
with SAP Internship Experience Program in your title, you’ll have a global network of SAP leaders, entrepreneurs and career development opportunities at your fingertips.
What you’ll do:
Your main tasks are:
What you bring:
We’re looking for someone who takes initiative, perseveres, and stay curious. You like to work on meaningful, innovative projects and are energized by lifelong learning.
NICE TO HAVE
Philadelphia
These jobs might be a good fit

Use state of the art GenAI models and techniques to solve real world problems, which were hard to solve previously.
Work with Data at Scale: Leverage Databricks and Python to build robust data pipelines and analytics workflows that power AI-driven insights. Help shape the data foundation that enables intelligent architecture guidance.
Focus on Performance: Build scalable, responsive, and accessible solutions to ensure smooth user experience and backend efficiency.
Collaborate with Teams: Work closely with cross-functional teams, including Product Management, UI/UX, and other engineering teams, to deliver impactful, customer-centric solutions.
Enhance Our Tech Stack: Participate in discussions on industry trends and support the evolution of our tech stack and best practices.
Learn & Share: Grow your skills by collaborating with teammates and contributing to a culture of continuous learning and improvement.
4+ years of professional software engineering experience, preferable in backend development.
Experience in building business applications using modern Generative AI.
Advanced expertise in Python, with a strong background in developing and deploying LLM applications and AI-powered systems.
A practical experience in Data Engineering, ideally using Databricks, dbt, or similar tools.
Familiarity with REST API and GraphQL, designing data flow solutions at scale.
You strive in agile environments, driving high-impact projects to completion while maintaining a focus on delivering high-quality, scalable code.
Demonstrate strong collaboration skills, working seamlessly across teams and ensuring clear communication to achieve business and technical goals.
English language skills, both written and spoken.
Experience building AI Agents.
Familiarity with machine learning frameworks (e.g., Promptflow, TensorFlow, PyTorch) and integrating AI/ML models into production systems.
Experience with LLM fine-tuning and deploying custom AI models at scale.
Hands-on experience with Docker, Kubernetes, and setting up GitHub CI/CD pipelines.
Familiarity with Azure, or other cloud platforms for deploying and managing scalable backend applications.
AI Usage in the Recruitment Process
For information on the responsible use of AI in our recruitment process, please refer to our
Please note that any violation of these guidelines may result in disqualification from the hiring process.
These jobs might be a good fit