Full Stack Engineer AI Automation

Job description

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: Resume highlighting relevant AI/ML and automation projects GitHub profile or portfolio demonstrating Python and AI work 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.

Sell2Rent is committed to diversity and inclusivity, providing equal opportunities for all qualified applicants regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law.

4-5 years
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

Required Skill Profession

Computer And Mathematical