Senior Backend Engineer (Python / GenAI) (Remote - Latam)

This position is posted by Jobgether on behalf of Tech9. We are currently looking for a Senior Backend Engineer (Python/AI) in Latin America.

This role offers the opportunity to design and maintain the backend infrastructure for AI-powered real-time applications. You will work on building robust systems that support live audio/video streaming, AI model deployment, and low-latency user interactions. Operating in a fast-paced, innovative environment, you will collaborate with AI engineers, software developers, and product teams to scale backend services efficiently and reliably. The position emphasizes technical excellence, problem-solving, and proactive contributions across multiple high-impact initiatives. You will help shape processes, optimize performance, and ensure stability in live, distributed systems. This role is ideal for those who enjoy tackling complex technical challenges and innovating at the intersection of backend engineering and AI.

Accountabilities:

• Develop backend services in Python to support real-time communication using LiveKit and WebSockets.
• Build and maintain infrastructure that enables seamless deployment, monitoring, and scaling of AI features.
• Collaborate with AI engineers to integrate AI models into production environments.
• Optimize backend systems for low-latency and high reliability in multi-user live applications.
• Contribute to CI/CD pipelines, Docker workflows, and cloud orchestration with Kubernetes and AWS.
• Identify performance bottlenecks and implement system improvements.
• Participate in technical planning, code reviews, and knowledge sharing across the team.

Requirements

• 5+ years of experience in backend or full-stack software engineering with a strong focus on Python.
• Experience with real-time systems, including WebRTC, LiveKit, or similar live streaming platforms.
• Proficiency with AWS (EC2, ECS, Lambda) and Kubernetes for cloud-native service orchestration.
• Solid experience with Docker, CI/CD pipelines, and production debugging/monitoring.
• Familiarity with AI deployment processes and frameworks such as LangChain, LangFuse, Ray, or LLMOps tooling.
• Experience with low-latency, high-concurrency backend systems.
• Strong problem-solving skills, initiative, and ability to work independently and in cross-functional teams.
• Nice to have: experience with event-driven architecture, asynchronous Python frameworks (FastAPI, asyncio), LMS, or high-concurrency platforms.

Benefits

• Competitive salary based on experience and responsibilities.
• Fully remote work across Latin America (Mexico, Costa Rica, Colombia, Argentina, Peru, El Salvador, Dominican Republic).
• Flexible working hours with startup-style autonomy.
• Opportunities to collaborate on cutting-edge AI projects with global impact.
• Professional growth, learning, and mentorship from experienced engineering and AI teams.
• Access to modern cloud infrastructure, tools, and frameworks.
• A collaborative and innovative work environment where your ideas and contributions are valued.

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!