MBRDI
Technology
FullstackDeveloper-Java/Vue
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Full stack Developer - Java/Vue at MBRDI. Skills: Java, Spring Boot, Vue.js, AI use case. Build backend systems. Build frontend interfaces”
Industry & Context.
Debugging
What They're Looking For.
Must Have
Hands on AI use case, Open Source LLM Tools Knowledge, LLM Integration with Microservices, RAG Frameworks, Data Processing skills, Bachelor's / Master's degree
Nice to Have
Kotlin preferred, Vue.js 3 preferred, React.js experience, Experience with Daimler systems, Exposure to international projects, Global stakeholder management
What You'll Do.
Build backend systems
Build frontend interfaces
Implement UI/UX design
Collaborate with teams
Deliver software solutions
Conduct integration testing
How You'll Work.
Team & Collaboration
Cross-functional teams
Full Job Description
About MBRDI: Mercedes-Benz Research and Development India (MBRDI), headquartered in Bengaluru with a satellite office in Pune, is the largest R&D center for Mercedes-Benz Group AG outside of Germany. Our mission is to drive innovation and excellence in automotive engineering, digitalization, and sustainable mobility solutions, shaping the future of mobility. Role: Full Stack Developer Key Responsibilities: Develop: Build robust backend systems using Java and Kotlin, and frontend interfaces using HTML, CSS, and JavaScript. Design: Implement aesthetic UI/UX design principles in web applications. Collaborate: Work with cross-functional teams to deliver high-quality software solutions. Test: Conduct unit and integration testing for both backend and frontend components. Deploy: Utilize Azure DevOps, Kubernetes, and Docker for efficient deployment and management of applications. Monitor: Implement logging, debugging, and monitoring practices to ensure application reliability. Required Skills and Experience: Backend Technologies: Proficiency in Java and Kotlin (preferred but not required), Spring Boot, and microservices architecture. DevOps & Infrastructure: Experience with Azure DevOps, Kubernetes, and Docker. Frontend Technologies: Proficiency in HTML, CSS, JavaScript, and experience with Vue.js 3 (preferred) or React.js. Testing & Debugging: Experience in unit testing, browser testing, and debugging. Additional Tools: Familiarity with AG Grid. Web Development: Strong understanding of the end-to-end web development process, including design, development, and deployment. AI(mandatory) : Hands on Experience with implementing AI use case Open Source LLM Tools Knowledge (basic) LLM Integration with Microservice applications: Streaming output, error handling, retries, rate limiting RAG (Retrieval-Augmented Generation) Frameworks Data Processing skills: cleaning, tokenization, embedding Educational Qualifications: Bachelor's / Master’s degree in Computer Science, Information
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