Senior Backend Engineer, Python, GenAI

Job not on LinkedIn

November 3

🇨🇷 Costa Rica – Remote

⏳ Contract/Temporary

🟠 Senior

🔙 Backend Engineer

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Logo of FusionHit

FusionHit

B2B • Software • SaaS

FusionHit is a trusted Nearshore Agile Development partner with locations in New York and San Jose, Costa Rica. The company specializes in delivering high-quality software solutions through collaborative Agile development teams. Their services include mobile app development, UI/UX design, product development, software testing, blockchain development, and Robotic Process Automation, focusing on innovative technologies and agile processes to ensure a positive digital experience for their clients.

51 - 200 employees

Founded 2010

🤝 B2B

☁️ SaaS

📋 Description

• Design and implement backend services in Python supporting real-time communication with LiveKit and WebSockets. • Develop tools and systems to support scalable AI deployment and monitoring. • Ensure system performance and reliability on AWS using EC2, Lambda, and Kubernetes. • Collaborate with AI teams to streamline model deployment and live testing. • Support high-stability, low-latency, multi-user environments. • Improve platform observability and debugging through robust logging and metrics. • Take ownership of technical decisions and process improvements across multiple projects.

🎯 Requirements

• BS/MS in Computer Science, Information Technology, or related field with 5+ years of experience in backend or full-stack software engineering. • Strong experience with Python and backend service development. • Hands-on expertise with real-time systems (LiveKit, WebRTC, or similar streaming tech). • Experience with low-latency, AI-integrated environments. • Proficiency in scaling services in distributed, production-grade environments. • Solid background with AWS (EC2, ECS, Lambda) and Kubernetes. • Skilled in performance optimization, debugging, and observability tools. • Familiarity with Docker and CI/CD tools. • Experience deploying AI models in production or supporting AI/ML engineers. • Knowledge of LangChain, LangFuse, Ray, or LLMOps frameworks. • Excellent communication skills in English (C1 preferred, strong B2 may be considered).

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