Ai developer állások, munkák it programozás, fejlesztés területen

• Outbound and inbound lead generation campaigns through HubSpot and LinkedIn Sales Navigator
• Research and identification of potential clients in target industries such as IT services, fintech, manufacturing, and enterprise transformation

• Design of Azure cloud infrastructure to support Databricks and data platform workloads
• Implementation and management of Azure cloud infrastructure
• Building and maintaining Azure resources including Resource Groups, VNets, Key Vaults, Storage Accounts, and Azure Active Directory integrations

• Working in a scaled environment to improve scaled design accuracy
• Driving and facilitating Scrum activities such as PI planning, daily scrum meetings, sprint retrospectives, and product demos
• Creating dashboards
• Facilitating the team and removing impediments to maintain consistent delivery rhythm

• Development, testing, and maintenance of data pipelines to extract, transform, and load data from various sources
• Writing high-quality, maintainable Python code
• Participation in code reviews
• Participation in technical discussions for tool selection and architectural decisions

• Delivery of complex data engineering projects
• Leading small delivery teams
• Management of customer relationships
• Supporting pre-sales processes
• Mentoring junior engineers
• Contributing to hiring data talent

• Designing, developing, testing, and maintaining scalable software applications using C# and the .NET ecosystem
• Writing clean, maintainable, and well-documented code in line with established coding standards and best practices

• Monitoring configuration, maintenance and usage of environments with virtual machines and cloud based infrastructures (Kubernetes)
• Cooperation with platform engineers, software architects, delivery teams and operational units

Explore and apply AI in real projects: Get hands-on with modern AI tools (e.g. Copilot, automation workflows, knowledge agents) and help us bring new digital solutions into everyday work...

• Developing and extending GPU-accelerated rendering features using Vulkan
• Implementing physically based rendering (PBR) and material models
• Designing and optimizing shader pipelines using Slang and modern graphics APIs

• Technical leadership in sports broadcasting solutions
• Mentoring junior engineers
• Collaboration with cross-functional teams
• Development and optimisation of AR/VR and backend graphics solutions
• Integration with in-house art assets
• Bug fixing and core functionality implementation

• Maintaining seamless communication and quote to cash process flows between Order Fulfillment and other departments
• Project coordination for Order Fulfillment
• Managing projects such as task automation and coordination of support tickets with IT

• Részvétel orvosi berendezések továbbfejlesztésében
• Gyártmányfejlesztési folyamatok és tesztelési technológiák megismerése és alkalmazása
• Orvosi berendezések fejlesztési eredményeinek ellenőrzése és tesztelése
• Automatizált és manuális tesztkörnyezetek megismerése és tesztek implementálása

• Redesign and redevelopment of middleware services within the integration layer using Go in a greenfield environment
• Design, implementation, and maintenance of backend services in accordance with enterprise standards and best practices

• Design, develop, and maintain high-performance software components in C++
• Design and extend execution and modeling frameworks for complex computing workloads
• Drive software architecture decisions, implementation, and integration activities

• Delivery of complex data engineering projects across industries
• Leading small delivery teams
• Management of customer relationships individually or with a Project Manager
• Support of pre-sales process
• Mentoring of junior engineers
• Contribution to hiring data talent

• Design and implement FPGA solutions using VHDL for space-grade equipment
• Perform functional verification and validation of FPGA designs ensuring compliance with aerospace and mission-critical requirements
• Develop ECSS-compliant documentation for all phases of the FPGA lifecycle

• Create articles, info pages and visuals for IT communication campaigns and formats
• Write editorial texts for internal communication channels
• Organize, moderate and host regular digital events
• Build internal presentations and documents for stakeholders

• Maintaining and evolving AI/ML projects using Python
• Building design Agentic LLM based solutions and maintaining/improving existing ones
• Ensuring output quality by verifying consistency and accuracy
• Investigating, assessing, and developing cloud based MCP solutions

• Providing technical assistance and guidance to data engineering and machine learning community
• Owning difficult technical problems
• Participating in the vision for data engineering through documents and conversations
• Getting buy-in from stakeholders and leadership

Own a core product area end-to-end. Set the vision, define the roadmap, and drive execution. Success is measured by impact, not output....