MBRDI
Technology
FullstackDeveloper-Java/Vue/AI
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Full stack Developer - Java/Vue/AI at MBRDI. Skills: Java, Vue.js, AI, Microservices. Build backend systems. Build frontend interfaces”
Industry & Context.
What They're Looking For.
Must Have
Hands on Experience with implementing AI use case, Open Source LLM Tools Knowledge (basic), LLM Integration with Microservice applications, RAG (Retrieval-Augmented Generation) Frameworks, Data Processing skills, Proficiency in Java, Proficiency in HTML, Proficiency in CSS, Proficiency in JavaScript, Experience in unit testing, Experience in browser testing, Experience in debugging, Understanding of end-to-end web development process
Nice to Have
Kotlin proficiency, Vue.js 3 experience, React.js experience, Experience with Daimler systems, Exposure to international projects, Global stakeholder management experience
What You'll Do.
Build backend systems
Build frontend interfaces
Implement UI/UX design principles
Collaborate with cross-functional teams
Deliver high-quality software solutions
Conduct integration testing
Implement logging practices
Implement debugging practices
Implement monitoring practices
Ensure application reliability
Implement AI use case
Integrate LLM with Microservice applications
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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