Senior Fullstack Engineer

hace 3 días


Colombia Jobgether A tiempo completo US$85.000 - US$138.000 al año

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Senior Fullstack Engineer (LLM/AI) in Latin America.

As a Senior Fullstack Engineer focused on LLM/AI, you will play a key role in developing and scaling AI-powered training simulations that help individuals enhance real-world skills such as leadership, communication, and decision-making. You will work on both backend and frontend components, building robust, scalable systems that integrate AI features, real-time audio/video, and digital avatars. In this role, you will collaborate closely with product, design, and cloud teams to translate requirements into reliable, high-performance solutions. You will also contribute to the migration and optimization of backend services, ensuring best practices, maintainability, and high code quality. This position offers the opportunity to innovate in a fast-paced, cross-functional environment while working with cutting-edge LLM and AI technologies.

Accountabilities:

  • Develop, maintain, and optimize backend services using NestJS, Python, or Java to support AI-powered applications.
  • Build systems that simplify deployment, monitoring, and scaling of AI features in cloud environments (Azure preferred; AWS a plus).
  • Support frontend components using ReactJS, ensuring seamless integration with backend services.
  • Collaborate with product and design teams to transform requirements into reliable technical solutions.
  • Contribute to backend migration projects and modernization efforts.
  • Maintain high code quality through peer reviews, testing, and adherence to software best practices.
  • Troubleshoot, debug, and continuously improve system performance and reliability.
  • Participate in agile ceremonies, fostering team collaboration and iterative delivery.
Requirements
  • 6+ years of professional software development experience in Java, TypeScript, or Python.
  • Hands-on experience with LLM and AI technologies, including model integration into applications.
  • Proficiency in cloud services (Azure preferred; AWS a plus) and deployment practices.
  • Strong understanding of software design principles, REST APIs, and modular architecture.
  • Experience with containerization and orchestration (Docker, Kubernetes) is a plus.
  • Excellent communication skills and the ability to work collaboratively in cross-functional teams.
  • Experience mentoring or sharing knowledge within engineering teams is desirable.
Benefits
  • Competitive salary and performance-based incentives.
  • Flexible remote work arrangements across Latin America.
  • Opportunity to work on cutting-edge AI/LLM technologies in real-world applications.
  • Career growth and skill development, including training and mentorship.
  • Participation in collaborative team events and knowledge-sharing initiatives.
  • Health and wellness support based on local standards.
  • Engaging and inclusive work environment that values innovation and autonomy.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching. When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.

Our AI evaluates your CV and LinkedIn profile thoroughly, analyzing your skills, experience, and achievements.
It compares your profile to the job's core requirements and past success factors to determine your match score.
Based on this analysis, we automatically shortlist the 3 candidates with the highest match to the role.
When necessary, our human team may perform an additional manual review to ensure no strong profile is missed.

The process is transparent, skills-based, and free of bias — focusing solely on your fit for the role. Once the shortlist is completed, we share it directly with the company that owns the job opening. The final decision and next steps (such as interviews or additional assessments) are then made by their internal hiring team.

Thank you for your interest

#LI-CL1



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