Sell2Rent

Full-stack Engineer

• Build and deploy RAG-based chat systems for enterprise knowledge management and internal tooling
• Design multi-agent orchestration workflows using LangChain, LangGraph, and custom frameworks
• Develop and optimize voice AI agents for customer interactions and automated communications
• Implement computer vision solutions for authentication, monitoring, and automated processing
• Architect scalable backend services using Python, FastAPI, and Pydantic for data validation
• Design and maintain RESTful APIs that integrate AI capabilities with existing business systems
• Build event-driven workflows and automation pipelines using tools like n8n and Pub/Sub systems
• Implement webhook integrations with third-party services (CRMs, communication platforms, databases)
• Deploy AI services across GCP (Vertex AI, Cloud Run, Cloud Functions) and AWS (Lambda, Rekognition, DynamoDB)
• Containerize applications using Docker for consistent deployment environments
• Optimize cloud resource usage and implement cost-effective AI solutions
• Manage data pipelines between cloud storage, databases, and ML models
• Build SQL-based data extraction and transformation workflows using BigQuery and PostgreSQL
• Create automated reporting and visualization systems using PowerBI or similar tools
• Implement machine learning models for classification, prediction, and anomaly detection
• Perform data analysis to inform AI system improvements and feature development

Full-Stack Engineer – AI Automation