Technical állások Budapesten (it programozás, fejlesztés)

• Delivery of agentic solutions across multiple client deployments
• Building and configuring full-stack AI-enabled solutions
• Embedding with client service teams and client teams to understand needs
• Translating client needs into technical and functional requirements

• Leading engagements to build and productionize tailored AI applications in the Databricks platform
• Owning the technical delivery of AI solutions independently or as Delivery Technical Lead
• Leading technical scoping and designing high-level architectures for AI and Generative AI solutions

• Design, develop, and optimize high-performance applications
• Analyze and improve application performance, memory consumption, and CPU utilization
• Identify performance bottlenecks and implement effective optimizations
• Work on resource and memory management challenges

• Manual and automated testing across iOS and Android platforms
• Collaboration with developers, designers, product owners, and fellow QA engineers
• Definition and refinement of test strategies for new functionality and release cycles

• Geographic information systems, spatial analysis, and map server infrastructure
• Maintain a performance oriented GeoServer and database
• Create new features based on specification
• Actively take part in the system design
• Optimize data flows, build automated data piplines

• Leading architecture design
• Driving technology decisions
• Co-creating innovative products
• Mentoring clients to adopt Agile practices and engineering excellence
• Leading project workstreams
• Building scalable solutions using Agile methodologies
• Co-creating products with client teams

• Design, development, and optimization of core ML models, especially in Computer Vision and Deep Learning
• Development of efficient, scalable training and inference pipelines
• Mentoring junior ML engineers, reviewing code and sharing best practices

Review business requirements and ensure alignment with end-to-end customer journeys, translating needs into user stories, technical specifications and architecture designs....

• Technical consultation and client education
• Creation of feasible delivery plans for on-time, on-budget, and high-quality project implementations
• Design and implementation of high-performing, maintainable, and secure software aligned with industry best practices and company capabilities

• Design, develop, and optimize high-performance applications
• Analyze and improve application performance, memory consumption, and CPU utilization
• Identify performance bottlenecks and implement effective optimizations
• Work on resource and memory management challenges

• Design, develop, and maintain scalable fullstack applications using .NET and Angular
• Integrate and manage messaging systems such as Kafka and RabbitMQ
• Deploy and manage applications using Docker and Kubernetes in AWS environments
• Work with various databases including PostgreSQL, MSSQL, and Couchbase

• Building, operating and improving production data pipelines using Python, Airflow, Kubernetes and related technologies
• Designing scalable data pipelines and data models for growing data volumes and processing needs

• Developing scalable library software using modern tools and languages for various numerical method
• Performance tuning, optimization, and benchmarking of algorithms on various architectures

• Creation and maintenance of test cases and test scripts 
• Coordination and implementation of continuous testing activities 
• Assessment of changes to software systems 
• Active participation in the release approval process 

Collaborate with stakeholders to understand the customer needs and with IT management to shape the strategical directions based on internal requirements and market insights (covering problem analysis, diagnosis collection, research, assessment of business operations,...

• Design, develop, review, and test features and user stories following Agile development practices
• Contribution to core platform development and integration projects across multiple systems
• Shaping the future architecture of the product including designing scalable backend services and prototypes

• Implementation support of retail planning solutions for German-speaking clients
• Understanding business requirements around planning, replenishment, and forecasting processes with client teams
• Translation of business needs into system configuration and solution design

• Design end‑to‑end application architectures aligned with enterprise architecture principles, standards, and strategic directions.
• Translate business requirements into robust, scalable and compliant solution designs covering applications, integrations, and supporting technologies.

• Design and evolve end-to-end architecture across data ingestion, processing, storage, and delivery
• Define scalable data pipelines and batch or near real-time workflows
• Establish efficient data models, storage strategies, and access patterns

• Develop and implement new features for RTOS-based and bare-metal systems, including drivers and system-level services.
• Participate throughout the full development lifecycle, from concept to production, including R&D, certification, and production handover.