Snowflake

Software Engineer, Applied AI

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MidOn-site·WarszawaFull-time

#273286·Dodano 9 miesięcy temu·5

Źródło: Snowflake

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Tech Stack / Keywords

AISnowflake LLM Python SQLData ScienceData modelingETL

Firma i stanowisko

Snowflake is building a high-impact team to help the world’s most innovative companies unlock the power of AI, placing the role at the intersection of product, engineering, and customer success, building production-grade AI systems using Snowflake AI Platform, Cortex, and native LLM capabilities.

Wymagania

Minimum Qualifications:

Bachelor’s degree in Computer Science, Engineering, or related technical field, or equivalent practical experience.
3+ years of professional software engineering experience.
Passion for tackling complex and ambiguous technical challenges using cutting-edge AI research.
Hands-on experience building and shipping LLM-based or ML applications.
Proven experience with data modeling, ETL/ELT development, and performance tuning.
Advanced proficiency in Python, Java, C++, or other backend programming languages with scripting and automation of data workflows.
Excellent problem-solving and communication skills.
Ability to thrive and adapt quickly in a fast-paced, dynamic environment focused on Generative AI.

Preferred Qualifications:

Experience building production applications using LLMs, including RAG and agentic workflows.
Hands-on experience with the MLOps lifecycle: model deployment, monitoring, and evaluation in cloud environments (AWS, Azure, GCP).
Strong understanding of data warehousing principles, architecture, and best practices.
Experience in a customer-facing role (e.g., solutions architect).
Startup experience.

Obowiązki

Architect, build, and deploy enterprise-grade AI solutions including sophisticated AI agents from prototype to production.
Build and iterate on AI pipelines and agents, contributing to evaluation frameworks and observability infrastructure.
Rapidly design, iterate, and ship high-quality code and ML pipelines using Python and SQL.
Own full lifecycle of AI solution implementation including deployment, monitoring, and optimization in secure large-scale production environments.
Partner with customer data science and engineering teams as a technical expert and trusted advisor.
Architect and implement rigorous data validation, maintain SLA observability, and manage complex system interdependencies.
Collaborate cross-functionally with Snowflake’s Product and Engineering teams to provide real-world feedback impacting AI platform development.
Progressively take on larger ownership from component to customer engagement as engineering judgment and impact grow.

Benefity

Opportunity to work with cutting-edge AI tools and technologies.
Collaborate with leading global enterprise customers.
Access to Snowflake's advanced AI capabilities and infrastructure.
Dynamic and fast-growing company scaling its AI team.

Snowflake

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