Software development engineer állások XXIII. kerületben (it programozás, fejlesztés)

Design, develop, and maintain scalable web applications and backend services to support trading operations Collaborate with cross-functional teams including traders, product managers, and other engineers to define requirements and deliver solutions Implement and optimize high-performance APIs,...

Collaboration with team members in a multi-office, multi-country environment Delivery of high efficiency, high availability, concurrent and fault tolerant software systems Working with product management and business users to define the product roadmap Identification and driving of opportunities to...

• Design and implement modern data architectures and lakehouse solutions
• Provide technical leadership throughout the project lifecycle
• Collaborate with business stakeholders
• Create effort estimations and provide technical expertise during the pre-sales phase
• Mentor 3-6 person project teams

• Planning, creating, executing, and maintaining automated test cases
• Analyzing and documenting the results of automated tests
• Reporting defects
• Collaborating closely with cross-functional team members
• Contributing to the continuous improvement of testing processes

• Participation in the whole lifecycle of development projects from planning to handover
• Maintaining existing cross-platform apps
• Developing cutting-edge projects while writing high-quality code
• Keeping up with the latest technology trends
• Communicating well with other team members

• Orvostechnikai eszközök kiberbiztonsági architektúrájának támogatása secure-by-design szemlélet mentén
• Rendszerszintű kiberbiztonsági elvárásokból származtatott folyamatok és fejlesztési megoldások definiálása dokumentálása és karbantartása

• Design and ship production-grade agentic systems
• Take technical ownership of Compliance in a Box (CiaB) AI platform
• Architect and evolve AI reasoning layer and agent orchestration framework
• Build and maintain the GRC Brain (AI reasoning layer) and Agentic Cortex (agent orchestration framework)

• Architect and implement scalable AI/ML solutions on Azure or GCP
• Design and build AI solutions for sales use cases
• Automated RFP/RFI ingestion, classification, and response generation
• Intelligent document understanding
• Knowledge retrieval across product documentation, contracts, and past proposals

• 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

• Building transformative AI capabilities from the ground up
• Developing user-facing features with conversational and agentic AI technologies
• Experimenting with generative AI models and techniques
• Tackling challenges at the intersection of AI and enterprise software

• Technical leadership post-sales for strategic customers in big data project design and implementation
• Identification and driving of new initiatives to turn customer data into actionable business value aligned with business goals

• Support Transmission System Operators (TSOs) And Distribution System Operators (DSOs) In Planning The Power Grid Of The Future
• Work Directly With Clients As Part Of International Consulting Project Teams
• Perform Power System Analyses (Power Flow, Voltage, Short‑Circuit, N‑1, Redispatch)

• Development of highly scalable services realizing AI/ML functionalities
• Implementation of machine learning solutions for computer vision and NLP use cases
• Work with Large Language Models (LLMs) and perform prompt engineering tasks

• Further development of existing optimization components of the airline management system Netline/Crew or Netline Scheduling area
• Implementation and experimentation on new and efficient optimization approaches
• Recording customer requirements for the commissioning of existing optimization components

• Data Science projects delivery with end-to-end product-oriented mindset
• Client engagement to understand business objectives and translate into technical requirements
• Pre-sales technical discussions leadership
• Collaboration with cross-functional teams for AI/ML solution integration

• Leading a team of 2-3 AI and cloud engineers focused on fast prototyping of AI/ML solutions in AWS cloud
• Providing mentoring and technical support to junior and medium teammates
• Acting as a trusted advisor to clients
• Developing highly scalable services realizing AI/ML functionalities

• AWS-based cloud architecture design and technical decision making for SaaS, PaaS, web application, and enterprise cloud environments
• Infrastructure as Code solution design and implementation using Terraform, AWS CloudFormation, or Pulumi

• Ownership of data engineering features, architecture, and code quality
• Design, implementation, and maintenance of Databricks-based data pipelines and workflows
• Building and optimization of ETL/ELT processes using Apache Spark on Databricks

• System IP Microarchitecture Specification And Design Contribution
• Verification, Modelling And Debug In SystemVerilog, C And C++
• Proposal And Prototyping Of New Methodologies
• Verification Plans And Environments Ownership And Development

• Research, development, implementation, and testing of artificial intelligence algorithms to improve the quality and robustness of the static world model in automated vehicles
• Focus on road structure including lanes, curbs, and drivable trajectories