About You
You are an AI Developer who turns large language models into reliable, production-ready data logic. You will join the team building a migration platform, where an LLM proposes SQL and mappings, a person reviews and approves them, and the approved logic is reused at scale. Your focus will be the reverse direction of the sync, taking changes made in the target platform back into each source system, along with the rules that classify and resolve the records that fail to sync.

Note: This position is offered under a 2-month contractor framework, with the possibility of extension.

You Bring to Applaudo the Following Competencies:
• Bachelor's Degree in Computer Science, Engineering, Information Systems, or a related field is desired, or equivalent professional experience.
• 3+ years of software development experience with Python and software engineering best practices.
• Advanced SQL skills working with PostgreSQL, MySQL, and cloud data warehouses such as BigQuery.
• 1+ year of experience building LLM applications that run in production, beyond prototypes.




• Experience integrating hosted LLM APIs into production environments, including structured output and its validation.
• Experience with prompt engineering, prompt versioning, fallback strategies, and cost and latency optimization.
• Experience evaluating LLM output with test cases and clear evaluation methodologies.
• Demonstrated ability to understand and modify a partially documented codebase that you did not write.
• Demonstrated use of AI tools in your daily workflow, with an explicit step to verify what they produce.
• Strong autonomy, attention to detail, and comfort with ambiguity as requirements evolve.
• Advanced English fluency.

Nice to haves:
• Experience in data migration or ETL projects.
• Experience with Vertex AI or Gemini.
• Experience extracting data from spreadsheets or documents.
• Experience with MLOps practices, including CI/CD, observability, and reproducible pipelines.

You Will Be A

📌 AI Engineer (Colombia)
🏢 Applaudo
📍 Colombia