Sr. AI/ML Engineer State of São Paulo

Perform; São Paulo; Hybrid; BRL 180,000 - 300,000; Full time

Benefits offered by this job

Fully-remote

Job summary

Perform is seeking a Sr AI/ML Engineer to lead the core ML systems, fine-tune LLMs, and build NLP pipelines for insurance workflows. You will collaborate with founders to shape the technical direction and own end-to-end model development across NLP, CV, and automation tasks.

You will design training workflows, integrate user feedback loops, and build scalable systems from scratch, joining a small, fast-moving team to tackle meaningful problems.

Qualifications

• 6+ years of Python development experience.
• 4+ years as an AI/ML developer.
• Experience with MongoDB and AWS.

Responsibilities

• Develop NLP systems to extract insights from insurance documents.
• Lead the fine-tuning of large language models for our domain.
• Architect training workflows using user feedback for continual improvement.
• Apply computer vision to extract data from PDFs and scanned documents.
• Build intelligent agents that interact with complex web interfaces using Playwright or Selenium.
• Design robust evaluation pipelines and performance metrics for models.
• Help architect scalable training, inference, and feedback pipelines.

Skills

Python

AI/ML development

Tools

MongoDB

AWS

Job description

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

Natural Language Processing & Understanding: Build and fine-tune NLP systems to extract structured data and insights from dense, jargon-heavy insurance documents.

Lead the development and fine-tuning of large language models tailored to our domain.

Architect training workflows that use user feedback and corrections to continually improve model performance.

Apply computer vision to extract data from PDFs, scanned documents, and other unstructured formats.

Build intelligent agents that interact with complex web interfaces using tools like Playwright or Selenium, and a strong understanding of DOM structures.

Design robust evaluation pipelines and performance metrics for all models.

Help architect scalable systems to support training, inference, and feedback pipelines.

You’ll be building core systems from scratch.

Qualifications

6+ years with Python development experience

4+ years experience as an AI/ML Developer.

Experience with Mongo DB and AWS

• Remote: Fully-remote