Offi állások Budapesten (it programozás, fejlesztés)

• Leading and growing multiple agile engineering teams
• Defining and owning the technical roadmap with stakeholders
• Championing responsible use of AI and automation
• Aligning technical strategy with business goals
• Mentoring and coaching engineers at all levels

• Ownership and delivery of well-defined stories independently
• Contribution to code reviews, testing practices, and service stability maintenance
• Support and guidance of junior engineers
• Maintenance of healthy development flow by adhering to Agile processes and driving iterative enhancements

• 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

• Design, build, and own secure, scalable cloud-native services using C#/.NET and AWS
• Lead technical decision-making balancing performance, reliability, security, and cost considerations
• Use AI-powered tools to enhance coding, debugging, testing, and prototyping while ensuring quality and safety

• 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

• Design and own secure, scalable services
• Guide technical decisions and evaluate trade-offs including AI-driven components
• Leverage AI tools to accelerate coding, debugging, testing, and prototyping

• Setting technical direction across teams
• Leading design of secure, scalable MCP hosts and AWS microservices
• Influencing AI adoption through AI first solution design, model guidance, prompt strategy, and built-in governance and monitoring

• Design and own secure, scalable services
• Guide technical decisions and evaluate trade-offs including AI-driven components
• Leverage AI tools to accelerate coding, debugging, testing, and prototyping
• Rigorously validate AI outputs to ensure quality and safety

• 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 and Agentic Cortex technical core
• Design and implement a 7-agent architecture

• 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 across the stack
• Mentoring senior engineers
• Leading org-wide design decisions

• Outbound and inbound lead generation campaigns through HubSpot and LinkedIn Sales Navigator
• Research and identification of potential clients in target industries such as IT services, fintech, manufacturing, and enterprise transformation

Design and build an automation test framework integrated into CI/CD pipelines and the SDLC Implement automated tests across API, integration, and end-to-end layers Write high-quality, maintainable test code with focus on reusability, stability, and execution speed Embed testing into the development...