Prompt & Python Developer

As a trusted global transformation partner, Welocalize accelerates the global business journey by enabling brands and companies to reach, engage, and grow international audiences. Welocalize delivers multilingual content transformation services in translation, localization, and adaptation for over 250 languages with a growing network of over 400,000 in-country linguistic resources. Driving innovation in language services, Welocalize delivers high-quality training data transformation solutions for NLP-enabled machine learning by blending technology and human intelligence to collect, annotate, and evaluate all content types. Our team works across locations in North America, Europe, and Asia serving our global clients in the markets that matter to them.

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions.

Job Reference: #LI-JC1

Role Overview:

This role bridges prompt engineering, Python development, and data-driven testing. The ideal candidate is fluent in Python's standard libraries, experienced with test automation, and comfortable working with datasets to validate and refine outputs. 

Key Responsibilities:

. Prompt Engineering & Integration:

. Design and refine effective prompts to achieve specific outcomes in language models.

. Translate business or research requirements into prompt structures and automated workflows.

. Implement prompt logic directly in Python applications

.Python Development:

. Write clean, maintainable Python code using standard libraries (e.g., os, json, re, itertools, collections, multiprocessing).

. Build modular scripts and frameworks for data processing, evaluation, and automation.

Testing & Validation:

. Validate outputs against benchmarks, datasets, and acceptance criteria.

. Debug and optimize to reduce errors, inconsistencies, or unexpected results.

Dataset Handling:

. Design, clean, and preprocess datasets for training, testing, and validation

. Maintain dataset versioning and documentation for reproducibility. 

. Implement scripts to generate synthetic test data where necessary.

Collaboration:

. Work closely with data scientists, ML engineers, and product stakeholders.

. Contribute to documentation, best practices, and internal knowledge sharing.

. Participate in code reviews and collaborative design discussions.

• Strong proficiency in Python (3.x) with deep knowledge of standard libraries.
• Experience in prompt engineering and working with LLM-driven workflows.
• Hands-on experience with dataset preparation, cleaning, and validation.
• Familiarity with version control (Git/GitHub) and collaborative workflows.
• Familiarity with project management tools (Jira)
• Strong problem-solving, debugging, and analytical skills.

• Exposure to NLP workflows and evaluation metrics.
• Experience with Python testing frameworks (pytest, unittest).
• Familiarity with JSON-based configurations, YAML, or similar formats.
• Knowledge of data processing libraries (pandas).
• Comfort working in agile development environments.

• Analytical Thinking – Ability to design prompts and logic for precise outcomes.
• Technical Rigor – Writes clean, maintainable, and testable Python code.
• Adaptability – Iterates quickly based on feedback and dataset insights.
• Collaboration – Works well across multidisciplinary teams.
• Attention to Detail – Ensures reproducibility, traceability, and accuracy.

• High accuracy and reliability of prompt-driven outputs.
• Well-structured, maintainable, and well-documented Python code.
• Clear datasets supporting reproducibility and scalability.