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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. JavaScript / Node.js / React Experience with Mongo DB and AWS Upper Intermediate English level Position Details Remote: fully 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.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.