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As a PhD candidate with us, you will dive deep into the world of agentic AI systems and contribute significantly to the development of intelligent solutions for real-world challenges, combining cutting-edge research with direct industrial impact....

• NET alkalmazások fejlesztése és karbantartása C# és .NET Core technológia használatával
• RESTful API-k és mikro-szolgáltatások fejlesztése
• Adatbázisok kezelése és optimalizálása
• Szoftverek teljesítményének javítása és hibák keresése
• Meglévő kódok refaktorálása

• Chunking and ingestion architecture with deterministic, validation-gated pipelines handling diverse enterprise document types with indexing and contextual enrichment
• Retrieval pipeline with vector search, BM25 hybrid retrieval, RRF re-ranking, embedding model selection and optimisation

Reimagine AI-based engineering: You collaborate closely with domain experts from international corporate research departments and business units to develop novel agent-based approaches towards engineering, addressing Bosch's extensive product and service portfolio....

As an AI Research Engineer at Bosch, you will explore a variety of real-world use cases that can significantly benefit from cutting-edge Large Language Models (LLMs), end-to-end trained ADAS systems, and AI agents....

Munkakörhöz tartozó feladatok ellátása....

• Support our Web Component Development team in building, testing, and maintaining reusable frontend components for digital products and platforms
• Contribute to the implementation of modern, scalable, and user-centered frontend solutions using web technologies

• Implementation of Technical Solutions Based on Engineering Business Partner Requirements Using Python and CIM Database Product Lifecycle Management System
• Work in GIT Lab CI/CD Environment with Pycharm and JetBrain AI
• Development of Add-Ons and Interfaces to Automate and Optimize Business Processes

• Komplex rendszer fejlesztése
• Webes alkalmazások lekérdezéséhez tartozó fejlesztői feladatok

Design and Own End-to-End Solutions: Lead the architectural design and implementation of high-availability, high-performance backend services and platform components, seeing them through from concept to production completion....

• Development of integrated automated tests
• Creation of automated test reporting and metrics collection
• Transition of testing from manual to automated approach
• Maintenance and refactoring of testcases
• Collaboration and knowledge sharing with QA Team members and Software Developers

• Learning existing system architecture, codebase, tools, and development practices
• Validating existing technical documentation and flagging any gaps or outdated content
• Highlighting blockers to knowledge transfer such as missing info, unclear logic, inaccessible systems

• You have delivered your first end-to-end feature across the entire stack.
• You have identified an area where AI can optimize internal workflows or the customer product.
• You have brought a major product initiative from the initial sketch to production.

• Design and delivery of secure, scalable, high-performance services and platform capabilities
• Setting technical direction across multiple teams
• Owning complex initiatives end-to-end from problem framing to iteration

• Closely follow the latest AI research and technology developments, identify relevant advances, and assess their practical potential for enterprise use cases
• Rapidly prototype and test new methods, architectures, and system patterns against realistic business problems, workflows, and data

• Odoo-modulok fejlesztése és testreszabása Python 3, XML és HTML használatával
• Backend-szolgáltatások fejlesztése Java/Spring és Hibernate segítségével
• Külső rendszerek összekapcsolása REST- és XML-RPC-API-k segítségével
• Eseményalapú integráció az Apache Kafka segítségével

• Own the end-to-end development of the MOBROG mobile app, from front-end implementation to backend architecture
• Build and maintain cross-platform mobile applications using Flutter

• PEGA alacsony kódszintű alkalmazásfejlesztés
• Újrafelhasználható komponensek készítése több alkalmazásban
• Felhasználói felületek fejlesztése a PEGA Constellation keretrendszerrel
• Integrációs fejlesztés REST API-k megvalósításával és külső rendszerek integrálásával

• You will actively work on sparsifying, pruning and quantizing CNN and transformer-based architectures for autonomous driving
• Design, implement, and evaluate models and training algorithms for runtime optimized 3D semantic occupancy predictions

• Work with a wide range of systems, processes and technologies to own and solve problems from end-to-end
• Uphold high engineering standards and bring consistency to the many codebases and processes you will encounter
• Work with engineers across the company to build new features at large-scale