Full-Stack Engineer AI Automation
Full-Stack Engineer AI Automation
Posted on :
03-10-2025
Employer Active
1 Vacancy
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Share
Send me jobs like this
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
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
- Bachelors degree in Computer Science Engineering or related field
- Professional English communication skills
Preferred Qualifications
- Masters 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 Youll 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 youve 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.
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
Employment Type
Full Time
Key Skills
Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.
