Senior Fullstack Engineer (LLM/AI)

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, you will play a critical role in building and scaling AI-powered platforms that enable organizations to deliver immersive, real-time training simulations. You will work across both backend and frontend systems, contributing to the design, development, and optimization of AI-driven features. This role provides the opportunity to collaborate closely with cross-functional teams, implement cloud-native solutions, and leverage LLM/AI technologies to create high-impact products. You will also participate in system migrations, performance tuning, and the deployment of scalable services on Azure and AWS. The position offers a fast-paced, innovative environment with opportunities to influence technical strategy and mentor colleagues while delivering solutions that transform how users interact with AI-driven simulations.

Accountabilities:

• Develop, maintain, and optimize backend services primarily using NestJS, Python, or Java.
• Support frontend development using ReactJS and JavaScript (approximately 20% of the role).
• Collaborate with product and design teams to translate business requirements into reliable, maintainable technical solutions.
• Contribute to migration projects, moving backend services from Java to NestJS.
• Implement and maintain cloud-based deployments and monitoring in Azure and AWS environments.
• Ensure code quality through peer reviews, automated testing, and adherence to software engineering best practices.
• Troubleshoot, debug, and improve system performance, scalability, and reliability.
• Participate in agile ceremonies, including daily standups, sprint reviews, and retrospectives.

Requirements

• 6+ years of professional software development experience, with 80% backend development in NestJS, Python, or Java, and 20% frontend experience in JavaScript/ReactJS.
• Hands-on experience with Large Language Models (LLMs) and AI-driven systems.
• Strong knowledge of cloud platforms, preferably Azure (AWS a plus).
• Expertise in software design principles, REST APIs, and modular architecture.
• Experience in scalable system design, deployment, and monitoring of AI-powered applications.
• Excellent communication and collaboration skills in a cross-functional, agile environment.
• Proven ability to mentor team members and share technical knowledge effectively.

Nice to Have:

• Experience integrating AI tools, APIs, or services into software workflows.
• Familiarity with containerization technologies such as Docker and Kubernetes.
• Interest in contributing to technical strategy and innovation in AI-driven systems.

Benefits

• Competitive salary and performance-based incentives.
• Flexible, remote-first work environment across Latin America.
• Opportunity to work on cutting-edge AI and LLM projects impacting multiple industries.
• Professional development, mentorship, and training programs.
• Collaborative, innovative, and growth-oriented culture.
• Exposure to scalable, high-impact software systems and cloud-native architectures.

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!