Nortal

(1460) Senior AI Platform / Developer Experience Engineer

Remote, Latin America - Remote Remote Posted Jun 2, 2026
Location Remote, Latin America - Remote
Workplace Remote
Language English
Posted June 2, 2026
Last verified June 3, 2026

Join Nortal for your next big adventure. We are seeking a Senior AI Platform / Developer Experience Engineer to join our team, grow with us, and teach us a few things along the way. 

 

Why join Nortal 

  • Say Goodbye to Micromanagement: We champion autonomy, open communication, and respect for diversity as our core values. 
  • Outcomes Over Hours: We believe in a work model focused on impact, providing you with the flexibility to balance your professional success with your personal well-being. 
  • Vibrant Community: Join our close-knit LATAM remote team and connect through tech talks, virtual coffee breaks, and team-building activities. 
  • Support from Day One: Our People Care team is here to support you throughout your journey, from wellness check-ins to professional growth. 

 

Our benefits 

  • Competitive USD salary. 
  • 100% remote work: While you can work from anywhere, you’re always welcome to connect with teammates and grow your network at our coworking spaces across LATAM. 
  • Paid off & national holidays: Take the time you need according to your country’s regulations while receiving your full salary. 
  • Sick leave: Focus on your health without stress. Take the necessary time to recover and feel better. 
  • Annual credit: Spend it on the perks you love to enhance your work-life balance. 
  • Team-building activities: Join us for coffee breaks, tech talks, and after-work gatherings to bond with your Nortal family and feel part of our vibrant community. 
  • Birthday off: Enjoy an extra day off during your birthday week to celebrate in style with friends and family. 

 

About the project  

As Senior AI Platform / Developer Experience Engineer, you will bridge the gap between machine learning operations and software engineering infrastructure, designing and optimizing the tools, frameworks, and platforms that power our AI development lifecycle. You will focus on enhancing developer productivity, streamlining model deployment pipelines, and ensuring that our engineering teams can build, test, and scale AI-driven applications with minimal friction and maximum efficiency. 

 

What you’ll do 

  • Design and maintain robust AI infrastructure and developer platforms to accelerate the internal machine learning lifecycle. 
  • Build seamless CI/CD pipelines tailored specifically for machine learning models and AI application deployment 
  • Optimize cloud resource utilization and compute clusters to ensure cost-effective and high-performance model training. 
  • Develop internal CLI tools, SDKs, and automated workflows to improve the daily developer experience for AI teams. 
  • Collaborate with data scientists and software engineers to standardize infrastructure requirements across projects 
  • Implement monitoring, logging, and observability tools for tracking both system infrastructure and model performance. 
  • Ensure high availability, security, and scalability of the platform in compliance with industry best practices. 
  • Evaluate and integrate emerging AI technologies, frameworks, and MLOps tools into the existing ecosystem. 
  • Provide technical mentorship and documentation to internal engineering teams to facilitate smooth platform adoption. 
  • Streamline data engineering pipelines to ensure efficient data access and preparation for AI development. 

 

What makes you a great fit 🎯 

  • Bachelor's Degree in Computer Science, Engineering, or a related field. 
  • Strong experience with GitLab CI/CD pipelines, merge request workflows, and pipeline debugging. 
  • Senior-level backend/platform engineering experience with the ability to maintain and improve existing systems. 
  • Experience working with LLM, prompt-driven, or agentic workflows, including input/output validation and deterministic execution patterns. 
  • Strong understanding of observability, including logging, telemetry, debugging, run tracking, and operational visibility. 
  • Experience supporting internal developer tools or platforms used by multiple engineering teams. 
  • Ability to execute tactical improvements independently without requiring re-architecture or extensive direction. 
  • Comfortable reviewing and improving generated code changes, codemods, and automated merge requests. 
  • Strong communication skills for supporting internal engineering customers and translating use cases into implementation work. 
  • Willing to work on a short-term project. 
  • Advanced English Level isrequiredfor this role,as you will work with US clients. Effective communication in English is essential to deliver the best solutions to our clients and expand your horizons. 

 

Global Impact, Local Culture 🌍 

For over 25 years, we’ve been shaping digital transformation, delivering complex solutions for global enterprises and public sector organizations. Today, we are at the forefront of an AI-driven transformation era, helping organizations turn data into real business value. By combining deep domain expertise with data and AI, we design solutions that create immediate impact while scaling for the future.  

We believe complexity doesn’t have to mean complicated, and that the best solutions are those that work in the real world, not just on paper. That’s why our clients trust us with their most ambitious, business-critical initiatives. 

Apply now and let’s shape the future of technology together!🧑💻 

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