Sell2Rent

Full-Stack Engineer – AI Automation

Sell2Rent

full-time

Posted on:

Location Type: Remote

Location: Remote • 🇺🇸 United States

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Job Level

Mid-LevelSenior

Tech Stack

AWSBigQueryCloudDockerDynamoDBFirebaseGoogle Cloud PlatformNoSQLPostgresPythonSQL

About the role

  • 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.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
PythonFastAPIPydanticLangChainLangGraphAI/ML applicationsSQLDockercomputer visionmachine learning
Soft skills
professional English communicationcollaborative developmentproblem-solvinganalytical thinkingteamworkadaptabilitytime managementattention to detailcreativityleadership
Certifications
Bachelor's degree in Computer ScienceMaster's degree in Computer ScienceAI/ML certification