🎁 Antes de postularte, practica esta entrevista. Crea tu cuenta gratis en WorkMundi y recibe un Entrenamiento de Entrevista en HelpsYouSpeak — sin costo, sin tarjeta. Quiero mi entrenamiento →
Lead the future of AI/ML in a hands-on, ambiguity-friendly role — shape models, build NLP pipelines, and influence product direction with founders. Collaborative, impactful work. About The Role We are seeking a Senior AI/ML Engineer to lead the development of core machine learning systems and AI-driven automation. This role focuses on building and improving LLM-based systems, NLP pipelines, and intelligent workflows that transform complex, unstructured data into usable insights. You will work directly with senior leadership to shape technical direction, define what should be built, and turn ambiguous product goals into real engineering solutions. This is a hands-on role for someone comfortable building in new and evolving problem spaces. What You’ll Do Lead the design and development of machine learning systems and LLM-based applications Fine-tune and adapt large language models for domain-specific use cases Build NLP pipelines to extract structured data from complex, unstructured documents Translate ambiguous product goals into clear technical and ML execution plans Work directly with product signals, user feedback, and backlog input to prioritize development work Build evaluation systems to measure model performance and detect regressions Design automated benchmarking pipelines for continuous model testing Define meaningful performance metrics tied to real-world outcomes Build feedback loops that use user corrections to continuously improve model performance Apply computer vision techniques to extract data from PDFs and scanned documents Develop AI agents that interact with web systems using automation tools such as Playwright or Selenium Work across system design, infrastructure, training, and inference pipelines Build scalable ML systems and supporting infrastructure from the ground up How You’ll Succeed Turn unclear problem spaces into structured, executable technical plans Build systems that improve continuously through feedback and evaluation Deliver reliable, production-ready AI/ML solutions in fast-changing environments Balance experimentation with practical system design and scalability Communicate clearly with technical and non-technical stakeholders Make strong prioritization decisions when everything is not fully defined Who You Are 6+ years of Python development experience 4+ years of experience in AI/ML engineering roles Strong experience building and deploying LLM-based systems (e.g., Claude, OpenAI models) Comfortable using modern LLM workflows such as prompting, evaluation, and iteration Experience building NLP systems for information extraction or document understanding Strong understanding of model evaluation, benchmarking, and performance measurement Experience working with JavaScript/Node.js and React in production environments Familiarity with MongoDB and AWS Experience building systems that integrate feedback loops or continuous learning Comfortable working in ambiguous environments without fully defined specifications Strong communication skills (upper intermediate or higher English) 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.