TL;DR

Data Engineer (AI): Building and optimizing ETL/ELT pipelines for extracting and transforming data for AI-based solutions, with an accent on RAG, fine-tuning, and synthetic data generation. Focus on managing datasets for AI model training, building "golden" datasets with domain experts, and developing automated evaluation pipelines.

Location: Must be based in Poland, Ukraine, Spain, Romania, Hungary, Bulgaria, Croatia, Estonia, Portugal, Azerbaijan, Kazakhstan, South Africa, or Egypt.

Company

%hirify_global% empowers employers to be free from geographical boundaries when accessing talent through its full-range people management platform, and is one of the fastest-growing private companies in the USA, backed by $40+M in venture funding and scaling rapidly with AI-driven data solutions.

What you will do

Build ETL/ELT pipelines for extracting and placing data, transforming it for AI solutions (RAG, fine-tuning).
Manage datasets for AI model training and fine-tuning, including instruction tuning and synthetic data generation.
Develop "golden" datasets with domain experts and build automated evaluation pipelines.

Requirements

Strong data engineering background with Python and SQL.
Familiarity with AI concepts (RAG, fine-tuning, datasets) and experience building ETL/ELT pipelines.
2–5 years in data engineering, with at least 1 year in an AI-focused environment.
Experience working in an AWS environment.
English: B2 required

Nice to have

Familiarity with Rust.

Culture & Benefits

Early-stage startup environment with opportunities to influence and grow rapidly.
Chance to define AI transformation and learn from other engineers and R&D projects.
Direct impact on revenue, customer support, and market differentiation.
Work for a market leader serving companies like Microsoft and Mastercard.
Competitive compensation and 100% remote work.
PTO regulated by local statutory, with a culture of respect, kindness, and diversity.