Senior Data Engineer (AI)

TL;DR

Senior Data Engineer (AI): Design, build, and operate ELT pipelines that extract, transform, and validate structured data from complex leasing documents using LLMs with an accent on AI-driven extraction techniques, data quality, and scalability. Focus on orchestrating LLM workflows, optimizing prompts for accuracy, and implementing monitoring for production-ready pipelines.

Location: 100% remote

Company

Connecting top LATAM engineering talent with innovative companies; client is a real estate technology startup transforming commercial lease management through AI-driven intelligence.

What you will do

• Design and iterate data extraction pipelines converting unstructured leasing documents into structured JSON.
• Write and optimize LLM API calls and prompts for scalable text data extraction.
• Orchestrate AI workflows integrating multiple LLM models for diverse document types.
• Build ELT workflows in Python managing data flows between cloud storage and relational databases.
• Develop data quality frameworks, validation, monitoring, and alerting.
• Collaborate with product and engineering teams to evolve data schemas and own end-to-end pipelines.

Requirements

• Strong Python experience building data extraction and transformation workflows.
• Experience with LLM APIs (OpenAI, Anthropic) and prompt crafting for structured extraction.
• Solid ELT patterns and data pipeline architecture knowledge.
• Work with AWS S3 (or similar) and PostgreSQL (or similar).
• JSON schema design and handling nested/semi-structured data.
• Data validation and quality controls implementation.
• Ability to work independently in fast-moving early-stage environment.

Nice to have

• Document processing pipelines (PDFs, contracts, leases).
• Evaluating LLM outputs for consistency and accuracy.
• AI orchestration platforms familiarity.
• Real estate, leasing, or financial document background.

Culture & Benefits

• 100% remote work with work-from-home and training reimbursement.
• Payment in USD and paid time off (PTO).
• English lessons, technical training, and career coaching.
• Growth-oriented environment promoting personal and professional development.