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• Producing high quality code for the full technological stack from database to UI
• Assisting with troubleshooting basic issues and improving application performance
• Documenting and demonstrating solutions with a focus on security and performance

Shaping AWS architectures and technical decisions for web applications, SaaS platforms and enterprise environments...

Development and maintenance of mission-critical video processing, transcription, accessibility pipelines, and interactive analytics services using TypeScript, React, and Ruby on Rails...

• Design process involvement of a SoC by integrating the latest Arm IP products
• Development of RTL code using System Verilog
• Running EDA tools to check the design and analyze results
• Using AI-assisted engineering tools to support development and debug
• Identifying and fixing bugs

• Owning quality architecture for the Scoring engine
• Prioritizing test strategies based on real-world risk
• Standardizing reusable patterns for the repository
• Building automated coverage across UI, API, and service layers
• Operating as a power user of AI-first IDEs

• Meglévő rendszer továbbfejlesztése
• Új funkciók készítése
• Hibák javítása
• Régebbi részek refaktorálása
• Adatbázis kezelése
• Backend üzleti logika fejlesztése
• Webes felület fejlesztése

• 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

• Implementation of transformation projects across sectors
• Independent management of workstreams with support from Delivery or Engagement Manager
• Collaboration with McKinsey colleagues and client teams
• Leadership of junior consultants and clients in projects or workstreams

• Design and development of GIS-based solutions, web applications, dashboards, and reporting solutions using Esri technologies
• Analysis and optimization of existing GIS processes focusing on scalability, data quality, and operational efficiency

• Ownership of internal agentic portfolio from build-and-rollout perspective
• Prioritization of use cases
• Planning and tracking delivery across several initiatives in parallel
• Gathering requirements from stakeholders in every department

• Ownership and evolution of Cypress + TypeScript E2E automation framework
• Integration of automated test suites into CI/CD pipelines
• Research and implementation of load and performance testing strategies
• Application of AI-assisted tools for test generation and failure triage

• Design and build agentic systems that plan, call tools and automate real business workflows
• Design and build multi-agent solutions with agent-to-agent work handoff, review and human escalation

• Modeling and experimentation for fuzzy matching and AML screening quality
• Building evaluation datasets and metrics for match quality measurement
• Designing scoring and machine learning approaches for real-time decisioning

• Design, develop, test, document, and deploy high quality Salesforce solutions leveraging Einstein 1 Platform, Lightning Web Components, and modern Apex patterns
• Analyze client specific requirements and define data model to support business, reporting and technical requirements

• Design and build artificial intelligence and machine learning solutions for enterprise clients
• Operationalize AI and machine learning solutions combining custom models with cloud and third-party AI services
• Assess client needs and data for AI/ML solutions

• Writing production-quality, well-tested scraper code in Python
• Learning the architecture of the collection platform including scrapers, proxy layer, queues and enrichment API
• Debugging issues across multiple components using logging, monitoring and alerting tools

• Design of high quality Salesforce solutions leveraging Einstein 1 Platform, Lightning Web Components, and modern Apex patterns
• Development of high quality Salesforce solutions leveraging Einstein 1 Platform, Lightning Web Components, and modern Apex patterns

• Establish data feeds with custodian banks, data vendors, and other service providers
• Support senior leadership, clients, and the broader Data Team in executing analyses and providing data-driven answers to questions
• Fully automate and centralize existing data integration processes

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...

• In-depth assessments with clients to understand business and technical needs
• Analysis of client requirements and proposal of feasible technical solutions
• Identification of client challenges and goals with recommendation of effective solutions