Full Stack Developer @ Elitmind

Elitmind

Warszawa, mazowieckie
Stała
Pełny etat

13 godzin temu

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 SkillsProactively identify and resolve issues related to BI systems, ensuring smooth operations and data accuracy. * Effective CommunicationAbility to explain technical concepts to non-technical stakeholders clearly and concisely, fostering understanding and collaboration. * Attention to DetailMeticulous in data validation, report generation, and ensuring data quality across BI platforms. * Team CollaborationStrong interpersonal skills to work effectively in cross-functional teams, coordinating with IT, business analysts, and other stakeholders. * Adaptability and Continuous LearningOpen 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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