Applied AI Intern: Build Production-Ready AI & Pipelines

Snowflake

Warszawa

On-site

PLN 22,000 - 45,000

Full time

5 days ago
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Benefits offered by this job

Paid internship

Job summary

Snowflake in Warsaw, Poland is seeking an Applied AI Intern to join our engineering team and help build, evaluate, and deploy AI applications for real customer use cases.

You will work with experienced AI engineers on production-oriented systems such as AI agents, RAG pipelines, LLM integrations, and data applications, gaining hands-on experience from prototype to production.

The internship offers mentorship, practical projects, and a path toward future full-time roles.

Qualifications

  • Pursuing or recently completed a degree in Computer Science, Engineering, Mathematics, Statistics, or a related field.
  • Interest in ML, LLMs, generative AI, or data-intensive applications.
  • Strong programming skills in Python.
  • Familiarity with version control, testing, debugging, and code reviews.

Responsibilities

  • Build and iterate on AI pipelines, agents, and data applications within customer or product engagements.
  • Translate business goals into engineering tasks, prototypes, and measurable outcomes under guidance.
  • Contribute to evaluation frameworks, test datasets, observability, and experiments that improve AI quality.
  • Help productionize solutions with reliability, safety guardrails, monitoring, and human-review workflows.
  • Collaborate with customer data science and engineering teams and write clean, tested Python and SQL.

Skills

Python
ML
LLMs
RAG
Data-intensive

Education

Bachelor's/Master/PhD in CS/Engineering or related field

Tools

Snowflake Cortex
Snowpark
SQL
Streamlit
Spark
AWS
Azure
GCP

Job description

Snowflake in Warsaw, Poland is seeking an Applied AI Intern to join our engineering team and help build, evaluate, and deploy AI applications for real customer use cases.

You will work with experienced AI engineers on production-oriented systems such as AI agents, RAG pipelines, LLM integrations, and data applications, gaining hands-on experience from prototype to production.

The internship offers mentorship, practical projects, and a path toward future full-time roles.

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