Senior FullStack Engineer - AI (Remote EMEA)

Pragmatike is recruiting on behalf of a fast-growing, AI-first enterprise software company building a next-generation semantic intelligence layer for large-scale business data. This role focuses on designing and owning core backend infrastructure, with responsibilities including transforming raw enterprise data and building scalable APIs.

• Design, build, and own backend systems that transform raw enterprise data into structured, business-meaningful representations
• Develop and maintain scalable data processing pipelines, semantic storage layers, and versioning systems
• Own features end-to-end, from data modeling and backend logic to API design and integration layers
• Build and operate high-performance APIs and real-time services (REST, Server-Sent Events)
• Architect and optimize distributed systems and data-intensive workflows using modern cloud infrastructure
• Work with relational and graph databases (PostgreSQL, Neo4j) and data platforms like Snowflake
• Make and defend architectural decisions, balancing long-term scalability with short-term execution speed
• Deploy and manage services in containerized environments (Docker, Kubernetes) across Azure and Google Cloud
• Integrate modern AI tools into development workflows to accelerate coding, testing, and documentation
• Collaborate closely with cross-functional teams to deliver high-quality, impactful features
• Contribute to engineering best practices and help shape a scalable, maintainable platform architecture

• 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)
• Ability to make pragmatic technology choices based on problem context rather than fixed stack preferences
• Strong problem-solving skills and ability to break down complex systems into scalable solutions
• Clear communication skills, with the ability to explain technical decisions to both technical and non-technical stakeholders
• Collaborative mindset with a strong sense of ownership and accountability
• Experience using AI-assisted development tools in a practical, productivity-focused way

• 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