Nexxa Backend Engineer for AI Systems
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Summary
Build and maintain the backend infrastructure powering Nexxa's AI systems for heavy industries: architecting backend services and APIs for machine learning, building data management and model-serving infrastructure, and optimizing batch and real-time AI workloads. Core stack is TypeScript/Node.js, with cloud platforms, containerization, and RAG/ML integration knowledge.
Shape the future of AI at Nexxa as a Backend Engineer. Work on the core AI infrastructure vital for delivering smart solutions in heavy industries.
Nexxa is seeking experienced Backend AI Engineers to build and maintain scalable infrastructures for various AI models. This role necessitates a mix of backend development, systems architecture, and proficiency in machine learning pipelines as you contribute to industry-leading AI systems.
Key Responsibilities: • Architect and develop backend services and APIs for machine learning • Build essential infrastructure for data management and model serving • Optimize systems for both batch and real-time AI applications • Collaborate on integrating ML models into production environments • Champion performance, reliability, and observability of backend assets
Requirements: • 4-8+ years in backend or related engineering roles • Expertise in TypeScript/Node.js; familiarity with Python is a plus • Experience with large-scale, production-grade systems • Understanding of cloud platforms and containerization tools • Knowledge of RAG systems and machine learning integrations
Drive Nexxa's mission forward by constructing dependable AI service infrastructures that enhance operational efficiency.
Nexxa is seeking experienced Backend AI Engineers to build and maintain scalable infrastructures for various AI models. This role necessitates a mix of backend development, systems architecture, and proficiency in machine learning pipelines as you contribute to industry-leading AI systems.
Key Responsibilities: • Architect and develop backend services and APIs for machine learning • Build essential infrastructure for data management and model serving • Optimize systems for both batch and real-time AI applications • Collaborate on integrating ML models into production environments • Champion performance, reliability, and observability of backend assets
Requirements: • 4-8+ years in backend or related engineering roles • Expertise in TypeScript/Node.js; familiarity with Python is a plus • Experience with large-scale, production-grade systems • Understanding of cloud platforms and containerization tools • Knowledge of RAG systems and machine learning integrations
Drive Nexxa's mission forward by constructing dependable AI service infrastructures that enhance operational efficiency.