Senior Fullstack Engineer
hace 1 semana
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.
In this role, you will design, build, and optimize full-stack solutions that power AI-driven training simulations for real-world skills development. You will work on backend services using NestJS, Python, or Java, and contribute to frontend components with ReactJS, ensuring seamless integration and high performance. The role involves collaborating with product and design teams to translate requirements into scalable, reliable technical solutions while supporting cloud-based deployments in Azure and AWS. You will participate in agile workflows, contribute to code quality, and help migrate legacy systems to modern architectures. This position offers the opportunity to work at the forefront of AI integration, including LLM-powered features, in a dynamic, fast-paced environment. You will also mentor peers and influence the architecture and design of complex systems, shaping the future of AI-enabled software products.
Accountabilities:
• Develop, maintain, and optimize backend services using NestJS, Python, or Java.
• Build scalable systems to deploy, monitor, and maintain AI and LLM-powered features.
• Support frontend development using ReactJS as required (approx. 20% of the role).
• Contribute to the migration of backend services from Java to NestJS.
• Collaborate with product and design teams to deliver reliable and efficient technical solutions.
• Ensure code quality through peer reviews, automated testing, and adherence to best practices.
• Deploy and maintain applications on cloud platforms (Azure, AWS), monitoring performance and reliability.
• Participate in agile ceremonies, troubleshoot issues, and optimize system performance.
• 6+ years of professional software development experience in Java, TypeScript, or Python.
• Hands-on experience with Large Language Models (LLM) or AI-driven systems.
• Strong knowledge of REST APIs, software design principles, and modular architecture.
• Experience with cloud-based deployments, preferably Azure, with AWS as a plus.
• Familiarity with frontend technologies (ReactJS) and full-stack development practices.
• Excellent communication and collaboration skills within cross-functional teams.
• Nice to have: experience integrating AI tools/APIs into software workflows, containerization (Docker/Kubernetes), and mentoring or knowledge sharing.
• Competitive compensation and exposure to cutting-edge AI/LLM technologies.
• Remote work flexibility across Latin America.
• Opportunity to work on scalable, innovative AI-powered platforms impacting education, healthcare, and business sectors.
• Collaboration in a dynamic, fast-paced, and innovation-driven environment.
• Participation in technical decision-making, architecture design, and code quality initiatives.
• Mentorship and growth opportunities within the engineering and AI teams.
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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