About the Role
The ideal candidate will have strong experience in both full-stack development and artificial intelligence, enabling them to implement scalable AI-driven features and optimize system performance across the entire application stack.
Responsibilities
- Develop and deploy full-stack applications with integrated AI components
- Design and manage backend services and APIs for machine learning models
- Build responsive and intuitive user interfaces for AI-powered features
- Collaborate with cross-functional teams to define product requirements
- Implement and optimize machine learning pipelines
- Ensure system scalability, security, and reliability
- Write clean, maintainable, and well-documented code
- Monitor and improve application performance
- Integrate third-party services and data sources
- Troubleshoot and resolve technical issues across the stack
- Participate in code reviews and technical planning sessions
- Maintain up-to-date documentation for systems and workflows
- Stay current with emerging technologies and best practices
- Support deployment and infrastructure automation
- Contribute to architectural decisions and system design
Nice to Have
- Master’s degree in Computer Science or related discipline
- Experience with large language models or NLP systems
- Contributions to open-source AI projects
- Familiarity with Kubernetes or orchestration tools
- Background in startup or fast-paced environments
- Experience with real-time data processing
- Knowledge of MLOps practices
- Previous work on autonomous agents or AI workflows
- Security-conscious development practices
- Experience mentoring other engineers
Compensation
Competitive salary with equity package
Work Arrangement
Remote
Team
Small, agile team focused on rapid development and deployment
What We Value
- Ownership of projects from concept to deployment
- Clear communication across distributed teams
- Technical excellence paired with practical execution
- Curiosity and continuous learning
- Building ethical and responsible AI systems
Technology Stack
- Frontend: React with TypeScript
- Backend: Node.js and Python services
- AI/ML: PyTorch, Hugging Face, LangChain
- Infrastructure: AWS, Docker, GitHub Actions
- Databases: PostgreSQL and MongoDB
Available for qualified candidates
