Full stack developer java állások, munkák ai és automatizáció kategóriában

• Build-from-zero applications powered by the HawkAI Engine
• Bridge machine learning models and real-time data pipelines into APIs and user interfaces
• Integrate AI-assisted development tools into software architecture and data integrity workflows

• Development of additional modules for the company's own Identity Management product
• Participation in the design and development of specific integration tasks related to the customer's processes
• Participation in support tasks

• Design and implement core authentication and authorization
• Build and maintain the entitlement decision cache
• Standardize API error handling with correlated request IDs
• Develop catalog APIs with entitled metadata exposure and full-text/faceted search

• REST APIs and backend services in PHP 8+ for web and B2B platforms
• Feature ownership end-to-end from requirements to release
• Performance, architecture, security, and SQL management in a high-traffic, SQL-first codebase
• Third-party integrations including payments, data feeds, and partners

• Backend komponensek fejlesztése Java és Spring technológiákkal
• REST API-k tervezése és implementálása
• Meglévő backend szolgáltatások karbantartása és továbbfejlesztése
• Integrációk fejlesztése és hibakeresése
• Együttműködés frontend fejlesztőkkel és supporttal

• Design and implement core authentication and authorization including POST /auth/token endpoint, JWT validation middleware, and entitlement enforcement layer
• Build and maintain entitlement decision cache with invalidation on entitlement changes

• Leading a small, senior engineering team building production LLM systems
• Shaping the technical vision for AI at Wise including architecture, evaluation, and integration of latest research into production
• Partnering closely with embedded Data Science, PM, Analyst and Prompt Engineering functions

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

• Design and build scalable data warehousing and lakehouse solutions
• Operate scalable data infrastructure and lakehouse solutions
• Create and own robust ELT pipelines connecting multiple internal and external data sources
• Design and implement data models aligned with industry best practices

• Design, development, and deployment of scalable, resilient, and high-performance components for the Wise Assistant
• Ownership of intent detection systems, contact processing pipelines, and routing logic connecting customers to automation solutions

• Tackling complex technical challenges focused on scalability, reliability, and speed
• Collaborating with Data Scientists and Engineers to design and implement cutting-edge feature topologies

• Design, build, and maintain large-scale distributed data systems
• Develop data processing pipelines using technologies such as Spark and streaming solutions
• Work on systems that evaluate and ensure the quality and integrity of large-scale knowledge graphs

• Design and build scalable, reusable frameworks and services for data ingestion, transformation, and processing
• Develop and maintain the platform’s core capabilities such as orchestration, data quality validation, and schema management tools

• Real-time decision making with machine learning for risk assessments
• Ownership of risk infrastructure for Instant ACH in the US market
• Cross-functional collaboration with software engineers, data analysts, and data scientists

• 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

Design of high quality Salesforce solutions leveraging the latest capabilities of the Einstein 1 Platform, Lightning Web Components, and modern Apex patterns...

• 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

• Scaling the platform that powers primary support channels including self-service, FAQs, and high-traffic chat interface
• Refining and scaling the support ecosystem leveraging Generative AI engine
• Engineering the logic and user experience connecting customers to AI capabilities

• Design and build scalable, reusable frameworks and services for data ingestion, transformation, and processing
• Develop and maintain the platform’s core capabilities such as orchestration, data quality validation, and schema management tools