AI Engineer – Temporary Contract

• Prepare context for each migration process, including functional documentation, source schema, and target data model, so the LLM generates accurate mappings in both directions
• Design and tune prompts for proposing queries, mappings, and transformation rules, reducing rework during human review
• Review generated SQL and mappings against both data models, validating entities, fields, relationships, and constraints
• Resolve unreliable LLM cases, including identifiers that change format between systems and data conflicting with constraints while preserving those constraints
• Build parameterized queries to detect changes on each side since the last sync, including non-database sources such as spreadsheets and document folders
• Work with the Senior Python Developer on safeguards for LLM-generated SQL and controlled, approved writes to source systems
• Automatically classify failed-to-sync records by root cause, including conflicts where the same data changed on both sides, and turn treatments into approved rules
• Automate migration preparation tasks such as loading inputs, generating artifacts, and comparing artifact versions
• Version approved artifacts with their source inputs and document preparation procedures for reuse by other teams

• 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
• 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

• Employees can work remotely
• 2-month contractor framework, with the possibility of extension