Sr. AI/ML Engineer
As the Sr AI/ML Engineer, you’ll lead the development of our core machine learning systems. You’ll fine-tune large language models (LLMs), build NLP pipelines, automate insurance workflows, and implement user feedback loops for continual model improvement.
This is a senior role for someone who’s not afraid of ambiguity, gets energy from building things that don’t exist yet, and wants to work on meaningful problems with a small, fast-moving team.
You’ll also collaborate with the founders (CEO & CTO) to help define the company’s technical direction.
Responsibilities:
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Natural Language Processing & Understanding: Build and fine-tune NLP systems to extract structured data and insights from dense, jargon-heavy insurance documents.
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Lead the development and fine-tuning of large language models tailored to our domain.
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Architect training workflows that use user feedback and corrections to continually improve model performance.
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Apply computer vision to extract data from PDFs, scanned documents, and other unstructured formats.
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Build intelligent agents that interact with complex web interfaces using tools like Playwright or Selenium, and a strong understanding of DOM structures.
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Design robust evaluation pipelines and performance metrics for all models.
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Help architect scalable systems to support training, inference, and feedback pipelines.
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You’ll be building core systems from scratch.
Qualifications:
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6+ years with Python development experience
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4+ years experience as an AI/ML Developer.
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JavaScript / Node.js / React
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Experience with Mongo DB and AWS
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Upper Intermediate English level
Position Details
- Remote: Fully-remote
- Location: State of São Paulo, San José, Santo Domingo, Buenos Aires, Santiago, Bogota, Quito, Guatemala City, Tegucigalpa, Lima, Montevideo Department, San Salvador, Mexico City, Panama City, Belize City
Your partner for AI, consulting, software development, and nearshore staffing.
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First Name, Last Name, Email, Phone, Resume/CV, Cover Letter, Location
- Preferred First Name optional
- LinkedIn Profile optional
- Website optional
- Do you have at least 6 years of professional experience in data engineering? choose one
- Do you have hands-on production experience with Azure Databricks? choose one
- Have you built data pipelines that serve analytics or ML systems in production environments? choose one
- Describe a time when you had to work with a business stakeholder who had a vague or unclear data need. How did you approach the conversation, and what did you do to turn that ambiguity into something you could actually build? upload