Informacje o stanowisku

technologies-expected :

• AWS
• Microsoft Azure
• Python
• TypeScript
• Node.js
• React.js
• Kubernetes
• Docker
• AI
• LLM
• GenAI
• RAG

• AWS Bedrock
• Azure Open AI
• LangChain

• Industry: Consulting
• Location: 100% remote
• Type of employment: B2B
• Budget: 160-200 net / hour / b2b
• Project area: designing, developing, and optimizing GenAI-based products
• Project duration: 6 months project with possible extension
• Seniority level: Senior, Ekspert
• Project language: English
• Project Start Date: November 2024
• Only candidates with citizenship in the European Union and residence in Poland

• Develop Chapter expertise by maintaining best-in-class Gen AI knowledge and sharing relevant insights across the organization
• Lead and mentor Chapter members, helping them improve their skills and perform better in their Squads
• Collaborate with Product Owners, Portfolio Leads, and Tech Area Leads to ensure proper technical resourcing for Squads
• Work hands-on in a Squad to realize its mission, advancing the backlog based on priorities set by the Product Owner
• Actively contribute to the organizations transformation to a new way of working through Agile practices and cross-functional collaboration

• 10+ years of experience delivering platform or complex technology solutions with a strong technical background, preferably in a global organization
• 3+ years of experience experimenting and developing with Large Language Models (LLMs)
• 5+ years of experience leading enterprise-scale software engineering or platform engineering teams
• Strong expertise in Generative AI, AI/ML pipelines, and cloud infrastructure (AWS, Azure)
• Proficiency in modern engineering practices, including CI/CD and DevOps
• Experience with key LLM model APIs (e.g., AWS Bedrock, Azure Open AI) and frameworks (e.g., LangChain)
• Knowledge of building enterprise-grade, secure data ingestion pipelines and working with unstructured data, embeddings, and knowledge graphs
• Proficiency in Python, TypeScript, NodeJS, and ReactJS, as well as containerization technologies (Kubernetes, Docker)
• Experience with RAG concepts and fundamentals and in implementing RAG systems
• Excellent leadership and mentoring abilities
• Strong collaboration and communication skills
• Data-driven decision-making and strategic thinking
• Passionate about continuous learning and innovation

• Unique opportunity to join an international team and create GenAI projects from scratch
• Private medical care with dental care (covering 70% of costs) + rehabilitation package; family package option possible
• Multisport card (also for an accompanying person)
• Life insurance
• Flextime
• Integration events
• Training budget
• Fully remote job

• sharing the costs of sports activities
• private medical care
• sharing the costs of professional training & courses
• life insurance
• remote work opportunities
• flexible working time

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