Informacje o stanowisku
Workplace: Mostly remote (80% remote work), visits in Warsaw or Cracow once per week
Workload: Full-time
Contract type: Contract of Mandate / B2B
What do we offer?
- Benefits package (private medical care, sports card, group insurance).
- Free English lessons with a dedicated teacher.
- Access to an extensive training library covering both soft and technical skills.
- Sports activities outside of work.
- Team-building events, competitions, and challenges.
- Architectural Leadership: Design and scale custom AI infrastructure, focusing on computational performance, power consumption, and cost-efficiency.
- Full-Stack Integration: Evaluate and select AI vendors/technologies; lead full-stack integration across Cloud (Azure) and hardware.
- Expertise: 6+ years in ML/AI systems with advanced proficiency in Cloud Technology Architecture and AI Agents.
- Modern AI Stack: Hands-on with LLMs, Vector Search (RAG), and Azure-specific services (Azure OpenAI, Databricks, AKS).
- Strategic Oversight: Lead cross-functional teams, manage high-level decision-making, and provide solutions that scale across multiple departments.
- Optimization: Monitor and tune AI systems for peak operational health (AIOps) and hardware scalability.
Workplace: Mostly remote (80% remote work), visits in Warsaw or Cracow once per week
Workload: Full-time
Contract type: Contract of Mandate / B2B
What do we offer?
- Benefits package (private medical care, sports card, group insurance).
- Free English lessons with a dedicated teacher.
- Access to an extensive training library covering both soft and technical skills.
- Sports activities outside of work.
- Team-building events, competitions, and challenges.
,[ Architect & Build: Design and operate end-to-end GenAI knowledge services and multimodal retrieval systems on Azure. , Infrastructure Optimization: Maximize AI hardware performance, power efficiency, and cost-scalability across the computational stack. , Vector & RAG Mastery: Own the integration of Azure OpenAI, semantic index design, and advanced vector embedding strategies. , Data Engineering: Develop robust ETL/ELT pipelines using Databricks and Data Factory for seamless AI data ingestion. , Production-Grade AI: Implement rigorous prompt engineering, safety guardrails, and model monitoring for context-aware responses. , Technical Leadership: Act as the SME for vendor evaluation, cross-functional team management, and high-level architectural decisions. , Experience: 3–6+ years in ML/AI systems, with 2+ years specialized in LLM/Vector stacks and modern AI infrastructure. , Advanced Toolkit: Proficient in Python, Azure AI Search, AKS/ACA, and OCR/Vision tools (Tesseract, Form Recognizer, OpenCV). Requirements: AI, Azure, ML, LLM, RAG, Team management, Python Additionally: Sport Subscription, Private healthcare, Remote work, English lessons, Life & group insurance, Integration events.
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