Full Stack Engineer

Uni Systems

1d • Onsite

About The Position

At UniSystems, we are working towards turning digital visions into reality. We are continuously growing and we are looking for a Full Stack Engineer to join our UniQue team in Brussels! What will you be doing in this role: 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.

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).

Responsibilities

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: Associate degree