Programozó állások XIX. kerületben (programozó, fejlesztő)

• Design, build, and ship production retrieval systems
• Own vector store selection and operation including scalability, latency, reliability, cost, and multi-tenant design
• Build and operate indexing and refresh pipelines including chunking, embedding generation, backfills, deletes, and versioned indices

• 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

Design and build knowledge tracing and longitudinal learner models that support mastery and progression features surfaced to customers...

• Design and build an automation test framework integrated into CI/CD pipelines and the SDLC
• Implement automated tests across API, integration, and end-to-end layers
• Write high-quality, maintainable test code with focus on reusability, stability, and execution speed

• Build and operate multi-cluster containerized environments across cloud platforms
• Create end-to-end CI/CD pipelines for cloud-native applications and machine learning workloads
• Lead cost-optimization and FinOps initiatives for GPU, storage and data-egress spend

• Understanding underlying data structure of an ERP system (Microsoft Dynamics 365 Finance & Operations)
• Creating technical specification documents for functional requirements
• Managing existing and creating new automations using Alteryx, Python, SSIS
• Creating reports and dashboards in Power BI

• Design and implement modern data architectures and lakehouse solutions
• Provide technical leadership throughout the project lifecycle
• Collaborate with business stakeholders
• Create effort estimations and provide technical expertise during the pre-sales phase
• Mentor 3-6 person project teams

• Design, build, and maintain backend services and APIs using C#/.NET Core in a cloud (AWS) environment
• Contribute to the development of scalable and secure microservices supporting SaaS products
• Work with Angular to implement and support end-to-end features where needed

• Lead the end-to-end implementation of data pipelines and GenAI applications on Databricks
• Design and maintain CI/CD, model serving, monitoring, and evaluation frameworks for AI production reliability
• Tune complex Spark jobs and LLM inference patterns for maximum efficiency and minimum latency

• Design, develop, and optimize scalable data pipelines for processing large-scale structured and unstructured data
• Ensure reliability, performance, and scalability of data systems
• Build solutions to handle real-time streaming data from multiple sources

• Leading a team of 2-3 AI and cloud engineers focused on fast prototyping of AI/ML solutions in AWS cloud
• Providing mentoring and technical support to junior and medium teammates
• Acting as a trusted advisor to clients
• Developing highly scalable services realizing AI/ML functionalities

• Line management, coaching, and career development for a team of Full-Stack Engineers
• Performance management and professional growth fostering
• Fostering a culture of technical excellence

• Research, develop, implement, and test artificial intelligence algorithms to improve the quality and robustness of the static world model in automated vehicles
• Focus on road structure including lanes, curbs, and drivable trajectories

• Building tools for Wise Servicing agents to verify customers and mitigate risk securely
• Developing infrastructure to provide insights into operational cost and bottlenecks
• Delivering adaptable, impactful solutions as a platform for Wise Servicing Agents and Product Teams

• Responsibility for the software architecture including fundamental software engineering non-functional and functional requirements and constraints
• Analysis of business and technical requirements for software platforms and infrastructure

• Design, develop, and implement complex, scalable Lakehouse solutions on the Databricks platform across major cloud environments
• Design, build, and optimize modular data pipelines using Delta Lake to ensure data efficiency, reliability, and quality