responsibilities :

Architect & Build
* Design and implement end-to-end AI automation frameworks leveraging LLMs and Generative AI
* Define system architecture, data flows, and integration standards
* Establish best practices for AI reliability, monitoring, and cost control
Full-Stack Execution
* Develop backend services (Node.js / TypeScript) powering AI-driven workflows
* Build internal tools and dashboards to manage, monitor, and optimize AI processes
* Implement robust error handling, logging, and observability mechanisms
System Integration
* Connect e-commerce platforms, CRM systems, and AI agents via APIs and custom middleware
* Ensure seamless, secure, and scalable data exchange between systems
Cloud Strategy & Modernization
* Lead migration and optimization within cloud environments (GCP preferred, Azure acceptable)
* Design scalable infrastructure supporting AI workloads
* Optimize cloud resource usage and API token consumption
Technical Leadership
* Define technical standards and architecture guidelines for the AI domain
* Partner with the AI Project Manager to translate business goals into technical roadmaps
* Provide technical oversight for AI testing protocols and knowledge base structures

requirements-expected :

5+ years in Software Engineering (Full Stack, backend-heavy)
Strong expertise in Node.js and TypeScript
Hands-on experience with Python and LLM frameworks (e.g., LangChain, LlamaIndex)
Solid knowledge of PostgreSQL (including pgvector) and MSSQL
Experience deploying and managing solutions in GCP and/or Azure
Strong understanding of API integrations and distributed systems
English proficiency (C1 or higher)

offered :

requirements-expected :