Engineering állások Budapesten (it programozás, fejlesztés)

• Participation in the whole lifecycle of development projects from planning to handover
• Maintaining existing cross-platform apps
• Developing cutting-edge projects while writing high-quality code
• Keeping up with the latest technology trends
• Communicating well with other team members

• 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

• Implementation of Technical Solutions Based on Engineering Business Partner Requirements
• Development in Python in Connection with CIM Database Product Lifecycle Management System
• Work in GIT Lab CI/CD Environment with Pycharm and JetBrain AI

• Building and maintaining simulation environments for mobile robotic perception and navigation
• Developing and integrating robotic behaviours and learning pipelines for reinforcement learning and motion planning in complex outdoor environments

• Ownership of data engineering features, architecture, and code quality
• Design, implementation, and maintenance of Databricks-based data pipelines and workflows
• Building and optimization of ETL/ELT processes using Apache Spark on Databricks

• Vectorization of 2D data
• Manual 2D/3D GIS data manipulation
• QA/QC of point cloud classification
• Database handling
• Editing and preparing of 2D vector and 3D point cloud data for further processing

• Translation of AI opportunities into executable technical solution designs
• Definition of integration approaches with IT and business application/data owners
• Implementation of AI use cases using enterprise AI services and LLM APIs

• Driving the strategic vision of the AI/ML Service Line
• Owning and evolving the service line strategy aligning offerings with SnapSoft’s growth targets and market opportunities
• Working closely with Sales & Pre‑Sales to understand customer needs market trends and emerging AI/ML opportunities

• Secure-by-Design szakértői támogatás projektek tervezésében és megvalósításában
• Biztonsági architektúrák tervezése és review-ja hybrid / multi-cloud környezetben
• Security requirement-ek meghatározása és compliance biztosítása
• Security risk assessment és threat modelling készítése

• Daily Data Production Workflows Across Multiple Asset Classes
• Quality Assurance Checks On Incoming Vendor Data And Internally Generated Analytics
• Investigation Of Data Quality Issues Such As Pricing Discrepancies, Missing Data, And Analytical Outliers

Design, build, and maintain large-scale C++ analytics libraries with emphasis on performance, correctness, extensibility, and long-term maintainability in a production environment...

• 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

• Development and maintenance of the data platform's infrastructure using Terraform
• Implementation and management of CI/CD pipelines for automation of data and AI processes and pipelines
• Automation of provisioning, configuration, and monitoring of resources in AWS

• Building and enhancing cutting-edge CAD features
• Developing world-class, testable, and maintainable code
• Collaborating closely with cross-functional teams to align technical innovations with business goals
• Evolving technical architecture and shaping engineering excellence

• Architect and implement scalable AI/ML solutions on Azure or GCP
• Design and build AI solutions for sales use cases
• Automated RFP/RFI ingestion, classification, and response generation
• Intelligent document understanding
• Knowledge retrieval across product documentation, contracts, and past proposals

• Technical leadership post-sales for strategic customers in big data project design and implementation
• Identification and driving of new initiatives to turn customer data into actionable business value aligned with business goals

• Leading teams to develop System IP like Interconnect, memory management, DMA, and media
• Guiding engineering projects from start to finish
• Ensuring products are delivered on time
• Ensuring products meet quality standards
• Ensuring products conform to specifications
• Effective communication
• Planning
• Scheduling

• 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

• Implementation and support of VB.NET based software solution
• Participation in the run and maintain team

• Design and own secure, scalable services
• Guide technical decisions and evaluate trade-offs including AI-driven components
• Leverage AI tools to accelerate coding, debugging, testing, and prototyping
• Rigorously validate AI outputs to ensure quality and safety