Ai developer állások, munkák XVII. kerületben

• Building the next generation of Workforce Management for the Deutsche Telekom Technology domain
• Digitizing and optimizing existing field service processes
• Working closely with POs, architects, and development/ops teams
• Developing and maintaining Camunda Spring Boot workers
• Applying bugfixes on backend

• Development, customization, and maintenance of ServiceNow applications, modules, and integrations
• Collaboration with cross-functional teams to understand business requirements and translate them into technical solutions

• Building end-to-end web solutions from UI to backend
• Leading and contributing to development efforts across the full stack
• Designing and implementing web applications using modern frameworks and best practices
• Translating business and user needs into intuitive, scalable technical solutions

• Implementation of complex ServiceNow solutions including system configuration and custom feature development
• Provision of advanced technical consulting and support quality assurance activities
• Ensuring adherence to implementation standards and technical best practices

• Architect and implement scalable AI/ML solutions on Azure or GCP
• Design and build AI solutions for sales use cases such as automated RFP/RFI ingestion, classification, and response generation
• Design and build intelligent document understanding solutions

Analysis of large software repositories to map services, dependencies, interfaces, build flows, and technical risks relevant to technical due diligence...

• Participation in the implementation of ServiceNow solutions including system configuration and development of custom features
• Support of technical consulting and testing activities
• Following implementation standards and technical best practices

• Writing reusable, testable, and efficient code mainly in Python
• Mastering the integration of user-facing elements developed by front-end developers with server side logic
• Integration of data storage solutions
• Handling security and data protection professionally and precisely

• Gathering and maintaining a vast product and business specific knowledge
• Acting as a consultant towards partners and customers
• Implementing software changes and enhancements
• Maintaining the product and solving problems reported by customers
• Provision of corresponding documentation

• Collaboration on various full-stack F# web projects
• Attendance at regular online status and team calls and/or face-to-face meetings
• Helping the team deliver each iteration on-time and successfully

• Writing reusable, testable, and efficient code mainly in Python
• Delivering great user experience by the development of great user interfaces
• Handling security and data protection professionally and precisely
• Providing technical solutions and implementing new software features collaboratively

• Writing reusable, testable, and efficient code mainly in Python
• Delivering great user experience by the development of great user interfaces
• Handling security and data protection professionally and precisely
• Collaborative work to provide technical solutions and implement new software features

• Writing reusable, testable, and efficient code mainly in Python
• Mastering the integration of user-facing elements developed by front-end developers with server side logic
• Integration of data storage solutions
• Handling security and data protection professionally and precisely

• LLM/GenAI architektúrák és agentek tervezése
• Ügyfelek fejlesztési igényeinek felmérése, átlátása és rendszerezése
• Specifikációk és rendszertervek készítése
• Prototípusok és PoC-ok létrehozása
• AI-megoldások jó gyakorlatai szerinti kialakításában való részvétel

• Design and ship production-grade agentic systems
• Take technical ownership of Compliance in a Box (CiaB) AI platform
• Architect and evolve AI reasoning layer and agent orchestration framework
• Build and maintain the GRC Brain and Agentic Cortex technical core
• Design and implement a 7-agent architecture

• Development of highly scalable services realizing AI/ML functionalities
• Implementation of machine learning solutions addressing computer vision and NLP use cases
• Work with Large Language Models (LLMs) and perform prompt engineering tasks

• Design, develop, and maintain software for client projects with iOS applications
• Explore and test new technologies
• Create demo or prototype applications
• Identify and implement innovative solutions

• AI-alapú rendszerek és alkalmazások architektúrájának tervezése és fejlesztése
• Microservice és event-driven architektúrák tervezése és technikai irányvonal meghatározása
• Architekturális döntések meghozatala, beleértve a megfelelő technológiai és tervezési megoldások kiválasztását

• Development and support of backend applications
• Documentation and testing
• Connection and integration with external systems through APIs

• Design enterprise Data & AI strategies that use Data & Generative AI to drive real business growth
• Translate complex business needs into clear AI solutions that deliver value
• Act as a trusted advisor to C-level leaders on AI adoption, regulations, and ROI