Engineer

• Design and execute front-end architecture to translate user interface concepts into tangible solutions
• Provide technical guidance and demonstrate best practices in coding, testing, and integrating new functionalities
• Operate within an AWS cloud framework
• Collaborate across departments to develop software solutions
• Assess pull requests and provide insights using GitHub
• Prioritize customer satisfaction and understand the impact of products on customers' daily operations

Engineer Level 2

• Build cost models using internal and external databases to establish Design-to-Cost targets for components, modules, and assemblies in HARMAN Automotive products
• Define HARMAN best-practice cost references for Automotive products to component level
• Analyze supplier quote cost breakdowns and cost-influencing factors
• Lead the technical definition and implementation of electronic system cost-modeling solutions
• Identify analytics that enable trend data to be established
• Develop technical relationships with suppliers to identify best-cost solutions and cost-improving emerging technologies
• Work with Engineering and Product Sourcing during new-business quoting to establish reference cost targets
• Support Procurement during negotiations with target costing
• Collaborate cross-functionally with Procurement, Engineering, Customer Account Management, Manufacturing, and Suppliers to achieve profitability and growth goals

Cost Engineer, Best Cost Analytics, Semiconductor

• Provision, tune, and maintain production-grade Neo4j graph database and pgvector vector storage clusters
• Engineer high-throughput index structures, cosine similarity vector indexes, and query optimizations for sub-second responses
• Build automated ingestion pipelines parsing Git repositories, ASTs, Jira issue links, Apache Avro schemas, and CI/CD metadata into an enterprise knowledge graph
• Connect distributed pipeline engines to hybrid retrievers combining SQL, Cypher graph traversals, and dense vector embeddings
• Configure circuit breakers, confidence scoring thresholds, and step-limit constraints for autonomous agents
• Integrate microservices and knowledge stores with the Enterprise AI Gateway
• Maintain version-controlled system prompt structures in localized .ai/ spoke directories while following DLP PII scrubbing rules and token rate limits
• Implement automated failover, backup restoration, and multi-cloud storage-tier cost controls across AWS and GCP
• Own the semantic, vector, and graph storage layer powering the context engine for enterprise AI utilities and the Internal Developer Portal
• Lead deployment of the SDLC Context Graph and GraphRAG Engine for CAB compliance, code/schema lineage tracking, and enterprise LLM proxy integrations

GraphRAG Engineer

• Own the semantic, vector, and graph storage layer powering the core context engine for enterprise AI utilities and the Internal Developer Portal
• Provision, tune, and maintain production-grade Neo4j graph database and pgvector/PostgreSQL vector storage clusters across AWS and GCP
• Engineer high-throughput index structures, cosine similarity vector indexes, and query optimizations for sub-second responses
• Build automated ingestion pipelines parsing Git repositories, ASTs, Jira issue links, Apache Avro schemas, and CI/CD metadata into an enterprise knowledge graph
• Connect distributed pipeline engines to hybrid retrievers combining SQL, Cypher graph traversals, and dense vector embeddings
• Enable AI-driven developer workflows and autonomous coding agents
• Configure circuit breakers, confidence scoring thresholds, and step-limit constraints for cyclic agent safeguards and governance
• Integrate microservices and knowledge stores with the central Enterprise AI Gateway
• Maintain version-controlled system prompt structures in localized .ai/ spoke directories while following DLP PII scrubbing rules and token rate limits
• Implement automated failover, backup restoration, and multi-cloud storage tier cost controls across AWS and GCP
• Lead deployment of the SDLC Context Graph and GraphRAG Engine for CAB compliance, semantic code/schema lineage tracking, and enterprise LLM proxy integrations

• Gather, analyze and document business and technical requirements
• Work closely with stakeholders to understand and clarify their needs
• Align conflicting requirements and facilitate consensus between stakeholders
• Analyze databases, data structures and data-related processes
• Use SQL to query and analyze data
• Analyze complex topics and requirements within the DWH environment
• Collaborate closely with business and technical teams
• Participate in agile projects and working processes
• Quickly understand new and complex business topics
• Proactively contribute to solution development and process improvements

Engineer jobs in Hungary

Engineer Level 2

Cost Engineer, Best Cost Analytics, Semiconductor

GraphRAG Engineer

GraphRAG Engineer

DWH Engineer