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Зарплата не указанаПередовые технологииСильная компанияДинамичная среда
Оценка от Hirify AI
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Текст:
Hirify AI/Оригинал
TL;DR
Applied AI Engineer (AI): Architecting and deploying enterprise-grade AI solutions and AI agents using Snowflake AI Platform and Cortex with an accent on production-grade AI systems and scalable ML pipelines. Focus on solving complex business challenges for strategic customers, optimizing LLM performance, and implementing RAG and agentic workflows.
Location: PL-Warsaw
Company
A global leader in AI-native data cloud technology powering the agentic enterprise.
What you will do
Architect, build, and deploy enterprise-grade AI solutions and sophisticated AI agents.
Own the end-to-end lifecycle from prototype to production for strategic customers.
Design and iterate high-quality code and ML pipelines using Python and SQL.
Serve as a strategic technical advisor to customer data science and engineering teams.
Implement rigorous data validation and SLA observability for reliable AI performance.
Collaborate with Product and Engineering teams to influence the future of the AI platform.
Requirements
Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.
3+ years of professional software engineering experience.
Experience building and tuning applications involving ML models or data-intensive systems.
Advanced proficiency in Python and experience with data modeling and ETL/ELT.
Familiarity with data science libraries like pandas, numpy, and Snowpark.
Strong communication skills for articulating technical concepts to diverse stakeholders.
Nice to have
Experience productionizing applications using LLMs, RAG, and agentic workflows.
Hands-on experience with the MLOps lifecycle in cloud environments (AWS, Azure, or GCP).
Strong understanding of data warehousing principles and architecture.
Previous experience in customer-facing roles, such as a Solutions Architect.
Startup experience.
Culture & Benefits
Opportunity to work with cutting-edge AI tools and infrastructure at scale.
Fast-paced, dynamic environment with an experimental mindset.
Direct impact on the future of AI and data cloud technology.
Collaborative environment with high-trust AI-native thinkers.
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