Full-Stack Engineer – AI Automation
Job Description: • 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 Requirements: • 3-5+ years of professional software development with strong Python expertise • 2+ years building production AI/ML applications using LLMs and modern frameworks • Deep experience with LangChain, LangGraph, or similar LLM orchestration tools • Proven track record deploying RAG systems, chatbots, or conversational AI applications • Strong backend development skills with FastAPI, RESTful API design, and Pydantic • Hands-on experience with OpenAI, Anthropic, or similar LLM APIs and prompt engineering • Knowledge of vector databases and embedding strategies for RAG implementations • Experience with voice AI platforms (Vapi, 11labs, Twilio, etc.) preferred • Familiarity with workflow automation tools (n8n, Zapier, Make, or custom solutions) • Computer vision experience using cloud services (AWS Rekognition, GCP Vision) is a plus • Practical experience with GCP services (Vertex AI, Cloud Run, Cloud Storage, BigQuery) • Working knowledge of AWS services (Lambda, S3, DynamoDB, API Gateway) • Proficiency with Docker and containerized application deployment • Experience with Supabase, Firebase, or similar backend-as-a-service platforms • Strong SQL skills for data manipulation and query optimization • Experience with web scraping, API integrations, and data pipeline development • Familiarity with PowerBI, data visualization, or BI tools • Knowledge of NoSQL databases and real-time data systems • Git/GitHub version control and collaborative development workflows • Agile/Scrum methodology and sprint-based development • Bachelor's degree in Computer Science, Engineering, or related field • Professional English communication skills • Master's degree in Computer Science, AI/ML, or related field (in progress or completed) preferred Benefits: • Long-term growth opportunities with the company. • Flexible schedule. • 100% remote work environment. • A start-up work environment that fosters innovation and creativity. • The opportunity to learn about the USA real estate market. • Career growth by working with sophisticated business applications. Apply tot his job