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Full Stack Engineer
Location
Belgium
Posted
19 days ago
Salary
0
Seniority
Lead
Job Description
Full Stack Engineer
Uni Systems
• Support programmes of work in the area of software development for digital innovation and technology applications. • Develop advanced application capabilities for analysts, enabling the exploration, analysis, and synthesis of strategic foresight data through complex, multi-step user workflows, including cross-article reasoning, topic engineering, source intelligence, and relevance assessment. • Develop full-stack integrations with AI-enabled backend services, exposing AI-driven analytical functions, retrieval mechanisms, and automated synthesis capabilities in a controlled and user-transparent manner. • Apply sound software design principles to ensure transparent, auditable, and controllable analytical workflows, including clear traceability between inputs, sources, AI-assisted reasoning steps, and generated outputs, suitable for high-trust analytical and policy environments. • Deliver deployment-ready solutions compatible with restricted and secure environments, including systems operating under governance, security, and operational constraints beyond standard commercial environments.
Job Requirements
- A BSc degree in a relevant field (or 3 years of Higher education).
- At least 8 years of experience, covering frontend and backend development, system architecture, integration, implementation and end-to-end ownership from design through deployment.
- Extensive knowledge in frontend (Vue.js, React, Astro) and backend frameworks (Python, FastAPI), including Frontend application architecture and state management, backend API design, schema validation, and service orchestration.
- Proven experience integrating frontend applications with backend APIs and data services, including high-volume data ingestion and querying, search, retrieval, and analytics oriented backends, performance-aware UI–backend interaction patterns.
- Practical experience integrating AI and LLM-based services, including LLM-powered analysis, synthesis, and content generation, retrieval-Augmented Generation (RAG) or hybrid retrieval approaches and deterministic, traceable, and auditable AI outputs suitable for policy and analytical use.
- Experience with designing and implementing analyst-facing workflows, with emphasis on transparency of analytical results, traceability of sources, reasoning, and outputs, user control over inputs, filters, and relevance criteria.
- Experience working in analytical decision-support contexts or strategic foresight, including Topic engineering and thematic analysis, source intelligence and relevance assessment, multi-source analytical synthesis.
- Ability to work independently at senior level, including structuring complex systems from high-level requirements, translating abstract objectives into concrete technical deliverables and delivery constraints.
- Experience with analytical platforms, such as strategic foresight analysis, emerging and disruptive technologies assessment, or decision-support tooling.
- Experience deploying solutions in restricted, controlled, or secure environments, including separation of environments, controlled AI service integration, deployment constraints beyond standard commercial cloud setups.
- Excellent command of spoken and written English (C1).
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