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As a Senior Java Backend Engineer, you will design and implement features in the GraphDB backend, optimize performance, debug issues, and review peer code.

The Strategic Account Executive drives sales of Graphwise products to enterprise clients, managing the sales process from prospecting to closing while meeting quotas and maintaining customer relations.

Thank you for your interest in Graphwise! They will contact you for a meeting when a position is available.

The Pre-Sales Engineer supports sales growth by providing technical expertise, designing solutions using Graphwise technologies, and guiding customers through technical evaluations and implementations.

The Knowledge Graph Solutions Consultant engages with clients to model business needs, design architecture, and develop solutions using Graphwise products, focusing on knowledge graphs and data management.

As a Semantic AI Engineer, you'll design data pipelines, enhance AI accuracy with graph-based patterns, and develop knowledge extraction workflows while collaborating with clients.

Own UK territory sales: prospect, build relationships, qualify leads, manage full sales cycle, close deals, coordinate with marketing, customer success and technical teams, represent the company at events, and maintain accurate CRM and forecasts to drive regional revenue growth.

Provide end-to-end HR administration for Austrian employees, prepare contracts and amendments, coordinate payroll with external provider, manage benefits and leave, maintain BambooHR data, ensure compliance with Austrian labour law and social security, and support employee relations and HR process improvements.

Lead end-to-end delivery of software and AI projects: define objectives, plans, budgets and milestones; coordinate cross-functional distributed teams; monitor performance, risks, and finances; manage stakeholder communication and project handover; and improve project management practices.

Design and implement GraphRAG pipelines, build scalable data ingestion and enrichment pipelines, integrate LLMs and embedding models into production, orchestrate workflows (n8n), build APIs, optimize retrieval/indexing performance, ensure reliability and scalability, and collaborate with product, data, research, and customer teams.