AI-First Data Engineer: Build Production AI Apps

ShipMonk

Wrocław

On-site

PLN 180,000 - 280,000

Full time

8 days ago

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Job summary

ShipMonk is seeking an AI-first engineer to join our Data team. You will build end-to-end AI solutions, develop data pipelines and features on top of Snowflake, and deploy production-grade apps used by real teams across HR, Sales, Marketing and Operations.

You’ll work with Python and SQL, design scalable data models with dbt, and implement LLM-powered features with evaluation and monitoring. We value hands-on engineers who can explain trade-offs clearly and ship impact quickly.

Qualifications

  • 3+ years of hands-on engineering in data, software or AI.
  • Strong Python and SQL with production experience.
  • Built at least one data pipeline and data model used by others.

Responsibilities

  • Find AI opportunities in business teams and turn them into scoped projects
  • Build and ship apps and automations with AI coding tools, and run them in production
  • Build pipelines from business systems into Snowflake and model clean, tested data layers in dbt
  • Build LLM features on that data: RAG, agents, assistants, with evals and monitoring
  • Drive AI enablement: share tools and templates, run sessions, help colleagues work AI-first
  • Experiment with new AI tools and keep what works

Skills

AI-first development
Data pipelines
Python
SQL
Snowflake
Airflow
Data modeling
Technical communication
Hands-on engineering
3+ years experience

Tools

Snowflake
Airflow
dbt
Pydantic AI
Langfuse
TypeScript
n8n

Job description

ShipMonk is seeking an AI-first engineer to join our Data team. You will build end-to-end AI solutions, develop data pipelines and features on top of Snowflake, and deploy production-grade apps used by real teams across HR, Sales, Marketing and Operations.

You’ll work with Python and SQL, design scalable data models with dbt, and implement LLM-powered features with evaluation and monitoring. We value hands-on engineers who can explain trade-offs clearly and ship impact quickly.

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