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.
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• 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
Apply To this Job