Job
Description
As a Fullstack Developer for Generative AI you will be an integral part of a collaborative team focused on implementing Generative AI in a corporate context. Your primary task will be the development and implementation of Generative AI solutions, with a particular emphasis on integrating Large Language Models (LLMs). The role encompasses - amongst other - the following work areas: Designing, developing and deploying client specific Generative AI solutions in the system landscape of client companies. Translating Generative AI use cases into architectural and technical requirements for development and implementation. Guiding and empowering junior colleagues in the technical implementation of Generative AI use cases for our clients. Further developing BearingPoint s Generative AI service portfolios. Cross-functional collaboration and execution of agile implementations. Your profile: Frontend Development: Frameworks: Proficient in React, NextJS. JavaScript/TypeScript: Strong knowledge for maintainable frontend codebases. State Management: Experienced with Redux, Context API, and React Hooks. UI Development: Skilled in dynamic, responsive UIs with advanced CSS and Styled-Components. Backend Development: API Development: Skilled in Node.js and NestJS for RESTful and GraphQL APIs. Database Management: Proficient in PostgreSQL, MongoDB, Supabase, including database design and optimization. Integration: Familiar with integrating backend services, third-party APIs, microservices, and event-driven systems. Platform Engineering: Docker: Experienced in containerization, creating/managing Docker images, Docker Compose, and orchestration. CI/CD Pipelines: Proficient in Azure DevOps and GitHub Actions for automating build, test, and deployment processes. Azure Cloud Network & Security: Networking: Manage Azure VNets, NSGs, Load Balancers; optimize network security and performance. Active Directory: Manage Azure AD, implement RBAC, MFA. Storage: Manage Azure Blob Storage, Azure Files; optimize storage performance and cost. App Services: Deploy/manage web apps with Azure App Services, configure app settings, scaling, and monitoring. Virtual Machines: Set up/manage Azure VMs, configure sizes, disk types, optimize performance. Monitoring/Security: Use Azure Monitor, Security Center for system reliability and security, set up alerts, diagnostics, logging. Agile Development: Methodologies: Familiar with Scrum/Kanban, participate in sprint planning, daily stand-ups, retrospectives. Collaboration: Work effectively in cross-functional teams with developers, product managers, stakeholders to deliver high-quality products. Our offer: Learning oriented organization with people development focus Attractive compensation package: Fixed salary compensation along with Yearly Evaluation and performance-related bonus scheme Extended annual leave Complete training & certification curricula available E-Learning System
