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Описание вакансии
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TL;DR
Senior Software Engineer (Node.js/Vue.js): Building complex enterprise applications with an accent on full-stack architecture, AI-enabled features, and scalable distributed systems. Focus on integrating LLMs and other AI/ML capabilities, designing Node.js and Vue.js systems, and mentoring engineers while improving development velocity through AI-assisted tools.
Location: Remote within the United States. This role is open only to US citizens and permanent residents who do not require visa sponsorship.
Company
ImagineX builds and secures mission-critical enterprise solutions through dedicated software, data, and AI teams serving clients across the United States and LATAM.
What you will do
- Design, develop, and maintain backend services with Node.js, JavaScript, and TypeScript.
- Build performant front-end experiences with Vue.js, Vue 3, Composition API, and Pinia or Vuex.
- Lead technical design discussions and contribute to architecture decisions for scalable enterprise applications.
- Integrate AI/ML capabilities such as embeddings, LLM-powered features, intelligent automation, vector search, and model inference.
- Use AI-assisted tools for coding, testing, documentation, and refactoring, while contributing to CI/CD, cloud deployment, observability, and performance optimization.
- Mentor junior engineers and collaborate with product, data, and AI teams on secure, maintainable end-to-end solutions.
Requirements
- 7+ years of professional software engineering experience.
- Advanced Node.js, JavaScript, and TypeScript skills with experience in microservices or API architectures such as Express or NestJS.
- Strong Vue.js experience, including Vue 3, Composition API, state management, and modern front-end build tools.
- Experience integrating AI/ML services or building AI-enhanced features.
- Experience with AWS, Azure, or GCP; Docker; Kubernetes; relational and NoSQL databases.
- US citizenship or permanent residency is required; visa sponsorship is not available.
Culture & Benefits
- Work in dedicated software, data, and AI teams structured like a software company rather than a traditional consultancy.
- Collaborate with product, data, and AI specialists on enterprise-scale solutions.
- Apply AI-assisted engineering practices across development, testing, documentation, and refactoring.
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