E learning állások IV. kerületben (it programozás, fejlesztés)

• Designing and developing backend services and APIs that support real-time data ingestion, transformation, and delivery
• Building scalable, low-latency, high-throughput systems capable of handling demanding performance requirements

• Design and build agentic systems that plan, call tools and automate real business workflows
• Develop LLM-powered applications including RAG pipelines: chunking, embedding, retrieval strategies, evaluation and iteration

• Design and build learner models including knowledge tracing and longitudinal approaches
• Shape the data foundation for learner modeling by defining relevant signals and building datasets
• Translate mastery and progression definitions into model targets and evaluation criteria

• Building and leading McKinsey's forward-looking capabilities to transform clients' innovation engines
• Bringing distinctive statistical knowledge to complex client Life Sciences R&D challenges through part-time staffing on client studies with a multi-disciplinary team

• Development and elaboration of functional concepts including creating functional architectures
• Creation of user stories and use cases to support development processes
• Visualization of functional concepts such as sequence diagrams and activity diagrams

• Learning and understanding software feature functionality on a detailed logical level
• Developing a project plan including project scope, release schedule, milestones, deliverables
• Communicating project status
• Articulating a vision and direction to the development team

• Development and customization of Microsoft Dynamics 365 applications using C#/.NET and Power Platform tools
• Building integrations between Dynamics 365 and Azure services such as Logic Apps and Functions

Development and enhancement of the MSCI Index Development Platform and the IndexMetrics Real-Time application using modern software engineering practices, Python, Azure, and AI-assisted development tools...

• Management of Agile methods
• Daily administration and quality assurance of Jira projects
• Ensuring engineering activities have defined ownership, priorities, and status
• Spotting issues needing attention promptly

• Research, configure, and test AI tools including Claude, Gemini, Zapier, and n8n to improve the GTM stack
• Build proof-of-concepts for AI-driven lead research, automated email drafting, meeting summarization, and information hand-offs

• Implementation and support of VB.NET based software solutions
• Participation in the MOM Delivery team
• Run and maintain team activities

• Understand business needs 
• Support project delivery 
• Spot opportunities for improvement 
• Be the problem-solver 
• Drive digital adoption 
• Collaborate to create value 
• You have a university degree in: Business Informatics, Information Technology, Software Engineering or similar field.  

• Provide first-level IT support for hardware, software, access, password, and application-related issues.
• Support users via phone, email, chat, and remote support tools.
• Troubleshoot technical issues and resolve incidents whenever possible.

• 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

• Design and implement APIs and domain services that abstract the complexity of using an LLM and enable rapid feature development from product teams
• Build scalable AWS infrastructure for LLM interactions, including prompt management, context handling, auditing, and response processing

• Design and develop Python SDKs and related packages
• Contribute to the integration between a data platform and the Python ecosystem
• Build solutions for data integration and model interoperability
• Improve developer experience for Python users

• End-to-end design for features across the assessment experience
• Research how educators and learners work with assessments
• Exploration of diverse directions for features on the unified platform
• Design for an institutional customer base with rigid adoption cycles

• 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

• Proficient use of modern frameworks
• Utilizing the most cutting-edge development environments: Docker, Kubernetes
• Developing high-availability, prestigious enterprise frontend applications, such as the portals of OTP Bank and Magyar Telekom

• 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