Full Stack Developer @ Elitmind

3 days ago

Remote Warsaw, Czech Republic Elitmind Full time

What makes you a great fit?


Key technologies

  • Frontend: React expert, TypeScript, HTML/CSS, Tailwind/Material UI.
  • Visualization: D3.js, Chart.js, Plotly, or Recharts.
  • Backend: Python (FastAPI, Flask, Django) or Node.js for API development.
  • Databases: SQL, NoSQL, vector DBs.
  • AI/Data: Understanding of LLM pipelines, RAG workflows, and semantic search.
  • Cloud/DevOps: Experience with Azure (or AWS/GCP), CI/CD, containerization (Docker, Kubernetes).
  • Security: Frontend/API best practices.
  • Nice-to-Have: prompt engineering and integrating AI into UI workflows,


Soft skills

  • Analytical Thinking
    Ability to interpret data, identify trends, and provide actionable insights to drive business decisions.
  • Problem-Solving Skills
    Proactively identify and resolve issues related to BI systems, ensuring smooth operations and data accuracy.
  • Effective Communication
    Ability to explain technical concepts to non-technical stakeholders clearly and concisely, fostering understanding and collaboration.
  • Attention to Detail
    Meticulous in data validation, report generation, and ensuring data quality across BI platforms.
  • Team Collaboration
    Strong interpersonal skills to work effectively in cross-functional teams, coordinating with IT, business analysts, and other stakeholders.
  • Adaptability and Continuous Learning
    Open to learning new tools and technologies in the rapidly evolving BI landscape and adjusting to changing business needs.
     
,[Frontend/UI: Design modern, responsive UIs for AI monitoring, dashboards, semantic search, and RAG tools. Build real-time, interactive data visualizations and ensure cross-platform performance., Backend/APIs: Develop APIs to connect UIs with AI models, vector databases (Azure Cognitive Search), and streaming systems (Kafka). Ensure secure, scalable integrations., AI/Data Enablement: Create dashboards for model lifecycle management, retrieval performance, annotation, and feedback., Performance & Security: Optimize for large-scale data, enforce role-based access, support Responsible AI practices, and provide audit-ready evidence of model/data changes., Collaboration: Work with UX, AI researchers, and data engineers; document workflows; contribute to reusable design systems.] Requirements: Python

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