Nexxa Backend Engineer for AI Infrastructure
Posted 2
views
Summary
A backend engineer (4–8+ years) designs and maintains APIs, backend services, and AI/ML infrastructure — including data pipelines, orchestration, and RAG systems — supporting Generative AI and Computer Vision solutions. Core stack is TypeScript/Node.js with Python familiarity, plus cloud and containerization experience.
Drive AI innovation at Nexxa as a Backend Engineer specializing in AI infrastructure. Your role will focus on integrating powerful Generative AI and Computer Vision solutions.
With at least 4–8+ years in backend or ML engineering, you'll design backend systems that support AI model integrations and service data needs across various industries. Proficient in TypeScript/Node.js, you'll ensure system performance and interact with diverse engineering teams to refine backend capabilities.
Key Responsibilities: • Design and maintain APIs and backend services for AI models • Oversee the AI/ML infrastructure including pipelines and stores • Implement orchestration and RAG systems for operational efficacy • Collaborate with teams to translate field requirements into systems • Create technical documentation for internal and customer use
Requirements: • 4–8+ years in backend software or ML engineering • Proficiency in TypeScript/Node.js, familiarity with Python • Experience in cloud environments and containerization • Knowledge of designing data pipelines for AI systems • Solid understanding of system design principles
Become part of Nexxa's journey in advancing backend AI solutions.
With at least 4–8+ years in backend or ML engineering, you'll design backend systems that support AI model integrations and service data needs across various industries. Proficient in TypeScript/Node.js, you'll ensure system performance and interact with diverse engineering teams to refine backend capabilities.
Key Responsibilities: • Design and maintain APIs and backend services for AI models • Oversee the AI/ML infrastructure including pipelines and stores • Implement orchestration and RAG systems for operational efficacy • Collaborate with teams to translate field requirements into systems • Create technical documentation for internal and customer use
Requirements: • 4–8+ years in backend software or ML engineering • Proficiency in TypeScript/Node.js, familiarity with Python • Experience in cloud environments and containerization • Knowledge of designing data pipelines for AI systems • Solid understanding of system design principles
Become part of Nexxa's journey in advancing backend AI solutions.
