Design & Development: Design, develop, and maintain robust, scalable, and high-performance web applications and microservices using Java, Spring Boot, and optionally Go. You will be responsible for both back-end services and front-end interfaces built with Vue Js and Angular
Front-End Engineering: Build dynamic and responsive user interfaces with a focus on user experience and performance. Responsibilities include developing features from scratch, writing effective unit tests, and performing precise code reviews
Cloud & Containerization: Actively work on deploying and managing applications in containerized environments. You will leverage Docker and Kubernetes for orchestration, ensuring high availability and scalability
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Contract layer — OpenAPI generated from the backend, Orval-codegenned into typed hooks consumed by the frontend. This is the spine of the system, and you'll touch both sides of it
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Role Overview: We are looking for a highly skilled Artificial Intelligence (AI) Engineer to design, develop, and implement AI-driven solutions for our drone and AGV systems. You will play a crucial role in advancing our AI capabilities, focusing on machine learning models, computer vision, and predictive analytics to enable smarter, more autonomous systems. Key Responsibilities: Develop AI Solutions: Design, train, and implement machine learning models, including deep learning, reinforcement learning, and predictive algorithms for autonomous systems. Optimize Performance: Enhance AI-driven systems to improve navigation, object recognition, decision-making, and overall performance of drones and AGVs. Integrate AI with Robotics: Collaborate with hardware and embedded software teams to seamlessly integrate AI models into robotics systems. Data Management: Collect, preprocess, and analyze large datasets to develop robust AI solutions. Research & Innovation: Stay updated with the latest AI and robotics trends, tools, and methodologies, ensuring Meraque remains at the forefront of technology. Testing & Validation: Conduct rigorous testing of AI systems in simulation and real-world environments to ensure reliability and accuracy. Documentation: Prepare comprehensive technical documentation, including model architectures, algorithms, and results for knowledge sharing and reference. Requirements: Bachelor’s or Master’s degree in Artificial Intelligence, Computer Science, Robotics, or any related field. At least 2–4 years of experience working in AI, machine learning, or robotics engineering. Proficiency in TensorFlow, PyTorch, or similar machine learning frameworks. Strong understanding of machine learning algorithms, neural networks, and computer vision techniques. Experience in designing and training deep learning models for tasks such as object detection, image recognition, and natural language processing. Knowledge of robotics middleware (e.g., ROS, OpenCV) and real-time systems integration. Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) for AI deployment. Strong mathematical foundation in linear algebra, probability, and optimization techniques
As an intern with the DasOps Team, you will assist in bridging the gap between business needs and software development teams by gathering, analysing, and documenting requirements for new and existing software solutions.
This role supports the development of the lifecycle by contributing to user stories, workflows, and process improvements, ensuring that technical solutions align with business goals. The intern will gain hands-on experience in development methodologies, stakeholder communication, and software development processes. Need to have knowledge in:- Microsoft Net Core (C#) (intermediate)- Python (Django) (intermediate)- Microsoft SQL Server Studio (intermediate)- MySQL (intermediate)
Your role will be to ensure reliable operations of our core systems (SAP S/4HANA and cloud services) while driving their modernization.
You will guide the development of new platforms in a continuous delivery model all the while leveraging Agile best practices.
You will be responsible for implementing the software architecture into detailed design, code, unit &modular testing, and performance optimization on SAP ABAP, CDS, RAP, SAP Fiori, ABAP OO (SAP Gateway, SAP ERP etc.). Maintaining software code by identifying and fixing root-causes of application defects, adjustment to environmental changes and adding enhancements will also be in your hands.
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As an intern with the DasOps Team, you will assist in bridging the gap between business needs and software development teams by gathering, analysing, and documenting requirements for new and existing software solutions.
This role supports the development of the lifecycle by contributing to user stories, workflows, and process improvements, ensuring that technical solutions align with business goals. The intern will gain hands-on experience in development methodologies, stakeholder communication, and software development processes. Applicants need to have knowledge in:- Python (Django) (intermediate)- Microsoft Net Core (C#) (intermediate)- Microsoft SQL Server Studio (intermediate)- MySQL (intermediate)
Lead or Drive basic-to-medium complexity Product Development Projects (Innovation & Renovation) according to NPD Process for Product, Process and Packaging (Basic +)
Steinbeis University - Schools of Next Practices (S-Next) is a Higher Educational Institution in Berlin, Germany that offers state-recognized study and development programs. We offer International Bachelor's, Master's and MBA programs specializing in fields that are most relevant in today's job market.
We're building a small backend team to work closely with our Berlin team. You'd be one of the first engineers on the team. The work is real production backend — services and APIs that the rest of the organization depends on.
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Lead or Drive basic-to-medium complexity Product Development Projects (Innovation & Renovation) according to NPD Process for Product, Process and Packaging (Basic +)
At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We’re committed to fostering an inclusive environment where everyone can thrive.
Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf.
Model & Prompt Engineering: Design, test, and iterate prompts that improve reasoning, factuality, and user experience.
Agentic AI Frameworks: Build, manage and orchestrate agentic workflows involving tool calling, reasoning loops, memory management, skills orchestration, and multi-step task execution.
AI Safety & Reliability: Implement guardrails, monitoring, and validation mechanisms to ensure AI systems remain safe, reliable, and ethically grounded.
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