
Job Overview
Location
Czech Republic
Job Type
Full-time
Category
Backend Engineer
Date Posted
April 22, 2026
Full Job Description
📋 Description
- • Senior Product Engineer role focused on building backend infrastructure for an AI-first enterprise software company that creates a semantic intelligence layer for business data, enabling AI systems to understand and act on complex enterprise data.
- • Day-to-day responsibilities include designing and owning backend systems, developing scalable data processing pipelines, owning features end-to-end from data modeling to API integration, building high-performance APIs and real-time services, architecting distributed systems, working with relational and graph databases, making architectural decisions, deploying services in containerized environments across Azure and Google Cloud, integrating AI tools into development workflows, collaborating with cross-functional teams, and contributing to engineering best practices.
- • The company is a fast-growing, AI-first enterprise software provider building a next-generation semantic intelligence layer that transforms fragmented enterprise data into structured, business-meaningful information for AI systems, operating in the enterprise software/AI/data infrastructure space.
- • The role offers the opportunity to shape a platform from the ground up, take ownership of core backend systems in a high-impact early-stage environment, work on technically challenging problems at the intersection of data, AI, and enterprise software, gain exposure to cutting-edge semantic data modeling and AI integration, and grow with a company that values transparency, ownership, and long-term impact.
🎯 Requirements
- • 5+ years of experience as a Backend Engineer, Software Engineer, or Product Engineer in a SaaS or product-driven environment
- • Strong experience building data-intensive or distributed systems in production
- • Proficiency in backend development (e.g., Python, Java, or similar languages), with strong preference for Python (async frameworks like FastAPI)
- • Solid understanding of APIs (REST), real-time communication patterns (e.g., SSE), data modeling, and cloud-based architectures
- • Hands-on experience with modern cloud platforms (AWS, GCP, or Azure) and containerized environments (Docker, Kubernetes)
- • Experience working with databases and data systems (e.g., PostgreSQL; familiarity with graph databases is a plus)
🏖️ Benefits
- • Build foundational technology enabling AI to operate reliably on complex enterprise data
- • Take ownership of core backend systems in a high-impact, early-stage environment
- • Work on technically challenging problems at the intersection of data, AI, and enterprise software
- • Join a highly collaborative, product-focused team with strong engineering standards
- • Gain exposure to cutting-edge approaches in semantic data modeling and AI integration
- • Grow with a company that values transparency, ownership, and long-term impact
Skills & Technologies
About Pragmatike Soluciones Tecnológicas S.L.
Spanish technology firm founded in 2014, delivering custom software, mobile apps, cloud migration, and data analytics. Combines agile development, AI, and DevOps practices to serve finance, healthcare, retail, and public sectors across Europe and Latin America. Core services include UX/UI design, QA automation, and 24/7 managed support, with ISO 27001-certified processes and multilingual teams in Madrid, Barcelona, and remote hubs.
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