Software development engineer állások XXIII. kerületben (programozó, fejlesztő)

Driving modeling and experimentation for SEON's fuzzy matching and AML screening quality, turning ambiguous problems into well-defined approaches and carrying them from experiment through release and operation...

• Designing and building agentic systems that plan, call tools and automate real business workflows
• Designing and building multi-agent (agent-to-agent) solutions in which agents hand work to each other, review it and escalate to a human when needed

• Java alapú alkalmazások karbantartása, fejlesztése és optimalizálása
• Üzleti és technikai igények alapján önálló feladat priorizálás és végrehajtás
• Technikai dokumentációk készítése és frissítése
• Kapcsolattartás a fejlesztői csapatokkal, üzemeltetéssel és más érintett szereplőkkel

• Design and build scalable, high-performance distributed systems and microservices.
• Develop concurrent applications using robust multi-threaded architecture in Linux environments.
• Leverage AI developer tools like GitHub Copilot and Claude Code to accelerate the SDLC.

• Engineering next-generation Video Review solutions across multiple sports disciplines
• Collaborating with cross-functional teams to design and implement components for Video Review
• Taking part in field testing and supporting deployments at live sporting events

• Writing and maintaining clean, high-quality, efficient and well tested code that aligns with project specifications
• Architecting and implementing key abstractions that bridge the gap between Software Engineering and DevOps

• Taking part in the design and implementation of the server architecture of the flagship product – iREMS (integrated Real Estate Management System)
• Finding solutions and developing to production stage for complex problems

• Leveraging cutting-edge machine learning to run risk assessments instantly every time a customer uses the calculator
• Owning the risk infrastructure for Instant ACH, providing instant transfers despite the payment network not supporting that

• Owning the architecture and delivery of production-grade LLM systems and classical ML solutions
• Designing, evaluating, and optimizing RAG pipelines (retrieval strategy, chunking, indexing, monitoring)

Providing technical leadership post-sales to guide strategic customers in designing and implementing big data projects, from architectural design to data engineering and model deployment...

• Java (Backend) és Angular (Frontend) alkalmazások fejlesztése
• rendszeres, érdemi code review, a kódminőségi elvárások következetes érvényre juttatása

• Building, operating, and improving production data pipelines using Python, Airflow, Kubernetes, and related technologies
• Designing scalable data pipelines and data models for growing data volumes and processing needs

• Active partnership with sales and project managers to estimate, design, develop and deliver solutions
• Continuous communication with domain experts and product owners to understand core business needs and goals to synthesize requirement and quality standards

• Building and refining critical controls to prevent Wise customers from scams
• Driving backend and frontend development for scam prevention and detection systems with 80% focus on backend and 20% on frontend

Tackling complex technical challenges focused on scalability, reliability, and speed, maintaining a high-performance infrastructure that processes millions of events with low latency...

• Geographic information systems, spatial analysis, and map server infrastructure
• Maintain a performance oriented GeoServer and database
• Create new features based on specification
• Actively take part in the system design
• Optimize data flows, build automated data piplines

• Geographic information systems, spatial analysis, and map server infrastructure
• Maintain a performance oriented GeoServer and database
• Create new features based on specification
• Actively take part in the system design
• Optimize data flows, build automated data piplines

• Leading a Core Modelling team building the foundational CAD engine that defines the Shapr3D user experience across all platforms
• Regularly reviewing and challenging engineering design documents, fostering an environment of collaborative problem-solving

• Building and enhancing cutting-edge CAD features, creating an unparalleled user experience across platforms
• Developing world-class, testable, and maintainable code that continuously pushes boundaries
• Collaborating closely with cross-functional teams to align technical innovations with business goals

• Developing a highly optimized inference framework
• Running on the world’s largest supercomputers and data centers
• Working in a dynamic and challenging environment on innovative, next-generation products at the forefront of technology in terms of performance, scalability, and features