Full-Stack Engineer - AI Automation

This is a remote position.

We are seeking a hands-on Senior Full-Stack Engineer - AI Automation to design and deploy intelligent automation solutions that transform business operations. This role focuses on building production-ready AI systems including RAG-based assistants, multi-agent workflows, and voice AI applications. You will work at the intersection of AI/ML and backend engineering, creating scalable solutions that leverage LLMs, cloud infrastructure, and modern APIs to solve complex business problems.

Key Responsibilities

AI System Development

• 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
  

Backend & API Engineering

• 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)
  

Cloud Infrastructure & Deployment

• 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
  

Data & Analytics

• 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

Core Technical Skills

• 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
  

AI/ML & Automation

• 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
  

Cloud & Infrastructure

• 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
  

Data & Integration

• 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
  

Additional Experience

• 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
  

Preferred Qualifications

• Master's degree in Computer Science, AI/ML, or related field (in progress or completed)
  
• Embedded systems development experience (C++, IoT, BLE communication)
  
• Mobile application development (Flutter, React Native)
  
• Experience with statistical analysis and classical ML algorithms
  
• Low-code platform expertise (AppSheet, Retool, Bubble)
  
• TypeScript/JavaScript for full-stack capabilities
  
• Previous startup or fast-paced product development experience
  

What Makes This Role Unique

Unlike traditional full-stack web development, this position focuses on:

• AI-first solutions that automate complex business processes
  
• Backend-heavy architecture with Python and modern API frameworks
  
• Intelligent automation using multi-agent systems and LLM orchestration
  
• Practical AI deployment solving real business problems, not research
  
• Hands-on technical execution building production systems from the ground up
  
• Cross-domain expertise bridging AI/ML, cloud infrastructure, and business logic
  

What You'll Build

• Internal AI assistants that enable employees to query company data conversationally
  
• Voice agents that handle customer service calls and appointment scheduling
  
• Automated workflows that eliminate manual data entry and repetitive tasks
  
• Computer vision systems for authentication, monitoring, and quality control
  
• Data pipelines that connect disparate systems and provide real-time insights
  
• Multi-agent systems that coordinate complex business operations
  

Why Join Us

• Work with cutting-edge AI technologies in production environments
  
• Build solutions that directly impact business operations and revenue
  
• Remote-first culture with flexibility and autonomy
  
• Small team where your contributions have immediate, visible impact
  
• Opportunity to shape technical architecture and tool selection
  
• Collaborative environment that values innovation and experimentation
  

Application Requirements

Please submit:

1. Resume highlighting relevant AI/ML and automation projects
   
2. GitHub profile or portfolio demonstrating Python and AI work
   
3. Brief description of a RAG system, chatbot, or automation solution you've built
   

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.