Software development engineer állások XXIII. kerületben (it tanácsadó, elemző, auditor)

• Designing, building, and operating enterprise-grade Agentic AI platforms
• Owning architecture and delivery while mentoring engineers and partnering closely with client and internal teams
• Helping organizations run secure AI environments at scale under strict regulatory and security requirements

• Supporting finance transformation projects for Hungarian and international clients
• Collecting and analyzing business requirements, process information, and operational data
• Documenting current-state finance processes and helping identify improvement opportunities

• Supporting the delivery of finance transformation projects for local and international clients
• Analyzing current finance processes and identifying optimization opportunities
• Designing target operating models and future-state finance processes

• Provisioning and managing Azure/AWS resources as part of real client engagements
• Building IaC and CI/CD pipelines to automate deployments
• Ensuring reliability through monitoring, runbooks, and incident handling
• Applying security patterns across projects

• Shaping transformations in S/4HANA transformation projects from planning to execution
• Designing and developing SAP-based software solutions, architectures, and transformation scenarios for well-known companies across various industries

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...

• Providing troubleshooting, user support, and post-implementation assistance across supported HR applications
• Acting as a functional expert for SAP HCM and developing expertise across the broader HR application landscape

• Designing agent roles, collaboration patterns, orchestration, models, memory, RAG, tool integration, identity, security, and human control
• Leading end-to-end delivery from discovery and proof of value through production rollout and scaling across business domains

• Design and implement cloud security controls across AWS, Azure, and/or GCP
• Deploy and tune Cloud Security Posture Management (CSPM) and Cloud-Native Application Protection Platform (CNAPP) tooling
• Build security into Infrastructure-as-Code and CI/CD pipelines

• 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)