[DT] : Full Stack AI Engineer
Key Skills for This Role
Full Job Posting
Full-stack development
- Lead design, development, testing, and deployment of full-stack applications using MongoDB, Express.js, React, and Node.js.
- Write clean, maintainable, efficient code using established coding standards and best practices; own features from concept to production.
Architecture and AI integration
- Collaborate on scalable, secure, and efficient application architecture and make technical decisions supporting scalability, model performance, and reliability.
- Design and integrate production AI/ML features, including LLM workflows, embeddings, semantic search, recommendation systems, or intelligent automation.
- Use Azure AI and cloud services to deploy, orchestrate, monitor, and optimize AI-enabled solutions.
Databases and frontend
- Design and manage MongoDB schemas, write complex queries, optimize database performance, and troubleshoot data-handling issues.
- Build responsive, intuitive React interfaces; optimize performance and cross-device compatibility, working with design and product teams.
APIs and problem solving
- Develop, document, and maintain RESTful APIs; integrate third-party services, external APIs, and AI model endpoints.
- Build backend workflows for model inference, prompt orchestration, vector search, and intelligent data pipelines.
- Diagnose technical issues and apply debugging, profiling, and performance tuning to improve system efficiency.
Continuous improvement
Stay current with MERN advancements and emerging AI technologies, participate in internal knowledge sharing, and contribute to continuous improvement and innovation.
Requirements
- The posting does not specify formal candidate qualifications, years of experience, or education requirements.
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