Engineer ai állások VII. kerületben (programozó, fejlesztő)

• Tapasztalat gépi látás vagy AI fejlesztésben
• Magabiztos C++ és/vagy Python tudás
• Analitikus gondolkodás és önálló problémamegoldás
• Innovatív szemlélet és csapatmunka
• Computer Vision / OpenCV
• Deep Learning / PyTorch
• 2D–3D képfeldolgozás
• CNN / Vision Transformer
• Robotika / ROS / ROS2
• C++ / Python

• Szoftverfejlesztő csapat vezetése és mentorálása, a határidőre történő, magas minőségű szállítás biztosításával
• Modern architektúra, DevOps és Agile best practice-ek bevezetésének és alkalmazásának ösztönzése

• Operate, maintain, and continuously improve cloud-based platforms supporting digital products and services.
• Contribute to platform operations activities, ensuring availability, performance, and reliability across development, test, and production environments.

• Owning and delivering complex C++ features across the full development lifecycle [design, implementation, review, maintenance]
• Driving code quality improvements and reducing technical debt through refactoring and pragmatic modernization

• Operate, maintain, and continuously improve cloud-based platforms supporting digital products and services.
• Contribute to platform operations activities, ensuring availability, performance, and reliability across development, test, and production environments.

Project specific intro: We are an international i-test team working on industrial automation systems, focusing on quality - but not in the “traditional testing" sense. We build and improve our own test automation tools and frameworks, developed in C#, creating tools, tests, and supporting systems,...

Mi lesz a feladatod? •Az Archicad alacsony szintű rétegeinek fejlesztése és karbantartása Windows és macOS platformokon •A termék licenszelési és jogosultságkezelési rétegének fejlesztése, beleértve a cloud alapú megoldásokat •Hálózati kommunikációval kapcsolatos kliens oldali fejlesztések •A...

• Chunking and ingestion architecture with deterministic, validation-gated pipelines handling diverse enterprise document types with indexing and contextual enrichment
• Retrieval pipeline with vector search, BM25 hybrid retrieval, RRF re-ranking, embedding model selection and optimisation

• Design, development, and deployment of scalable, resilient, and high-performance components for the Wise Assistant
• Ownership of intent detection systems, contact processing pipelines, and routing logic for automation solutions

• Setting the technical direction for AI-enabled platform
• Architecting secure, scalable, serverless systems on AWS
• Defining patterns and governance practices for multiple teams
• Guiding AI value addition across the stack
• Mentoring senior engineers
• Leading org-wide design decisions

• Develop and maintain our python-based model-agnostic AI agentic backend, managing connections between plugins and other components of the system
• Create and develop a plugin infrastructure of agents, MCPs, skills of our internal and external services under our core platform

Mastering Apache Spark and Databricks on AWS/Azure Delivering hands-on project work during bi-weekly sprint model Completing complex capstone projects Shadowing senior consultants on real-life engagements Delivering simulated projects Advising stakeholders and navigating requirements Contributing...

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

• End-to-end implementation of data pipelines and GenAI applications on Databricks
• Design and maintenance of CI/CD, model serving, monitoring, and evaluation frameworks for AI production reliability
• Tuning of complex Spark jobs and LLM inference patterns for performance optimization

• Design and development of a brand new cricket tracking system
• Ownership of tracking pipelines across the full system
• Definition and evolution of system architecture
• Driving robustness, accuracy and performance in live sports environments

• Leading the design and evolution of ball and player tracking algorithms using multi-camera systems
• Owning multi-view geometry solutions across entire tracking pipelines
• Driving improvements in occlusion handling, recovery and system robustness in live sports environments

• Setting technical direction across teams
• Driving AI-native and cloud-native architecture and long-term system evolution
• Leading design of secure, scalable MCP hosts and AWS microservices
• Balancing performance, reliability, and cost in system design

Ownership of larger functionality of Case Platform Design and implementation of backend services using Java 17+, Spring Boot, and modern architectural patterns Contribution of production-quality code Performance of design reviews Driving architectural decisions Ensuring reliability and operational...

• Design and own secure, scalable services
• Guide technical decisions and evaluate trade-offs including AI-driven components
• Architect and deliver AI/agentic product features including LLM integrations, multi-step agentic workflows, tool-use patterns, RAG pipelines, and intelligent automation

• Building and evolving the Risk Manager platform
• Developing secure, scalable microservices using TypeScript and React in a serverless architecture on AWS
• Contributing to AI-powered features for risk management
• Taking end-to-end ownership of services from development to deployment and monitoring