Remote Advanced Python Engineer for AI Systems

Alignerr Corp.

España

Remote

EUR 83,000 - 165,000

Full time

18 hours ago
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Benefits offered by this job

Fully remote

Job summary

Alignerr is seeking an advanced Python engineer to shape AI software through production-grade code and data workflows. This fully remote contract role is designed for experienced engineers who value clean architecture, scalable data pipelines, and pragmatic, client-facing problem solving.

You will design and optimize Python, analyze structured datasets, write SQL, review existing code for performance, and translate ambiguous requirements into concrete technical solutions.

Qualifications

  • 4+ years of professional software engineering experience.
  • Advanced proficiency in Python — clean architecture, performance optimization, and debugging.
  • Strong hands-on experience with real-world data analysis and structured datasets.
  • Solid SQL skills, including complex queries, transformations, and data validation.

Responsibilities

  • Design, implement, and optimize advanced Python code for production-level systems.
  • Analyze and manipulate structured datasets to support engineering and modeling workflows.
  • Write and optimize SQL queries to extract, transform, and validate data.
  • Review, debug, and improve existing codebases for performance, reliability, and maintainability.
  • Translate ambiguous or high-level requirements into concrete, well-reasoned technical solutions.
  • Apply consulting-style thinking to evaluate tradeoffs and recommend best-fit approaches.
  • Document assumptions, decisions, and implementation details with clarity and precision.
  • Evaluate AI-generated code and analytical outputs for correctness and quality.

Skills

Python
SQL
Data analysis
Consulting

Job description

Alignerr is seeking an advanced Python engineer to shape AI software through production-grade code and data workflows. This fully remote contract role is designed for experienced engineers who value clean architecture, scalable data pipelines, and pragmatic, client-facing problem solving.

You will design and optimize Python, analyze structured datasets, write SQL, review existing code for performance, and translate ambiguous requirements into concrete technical solutions.

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