AI-Augmented Full-Stack Engineer
7 days ago
The Mission: Accelerate product development from weeks to days by strategically leveraging AI as your development partner. You'll architect and deploy scalable systems while pioneering AI-augmented workflows. This role requires strong engineering fundamentals combined with expertise in AI-assisted coding—knowing when to use AI for rapid development versus when manual coding is essential.
Tech Stack:
- Frontend: Svelte, TypeScript, for data visualization
- Backend: NestJS (TypeScript), GraphQL, Python for data processing and ML
- Data: PostgreSQL (advanced optimization), MongoDB, Elasticsearch, Redis, Kafka
- AI Tools: GitHub Copilot, Claude, and emerging AI coding assistants
- DevOps: Docker, Kubernetes, CI/CD, AWS/Azure, monitoring and security tools
- Open Source: Strategic contribution to and integration of relevant projects
What You'll Do:
- Architect scalable applications using AI-assisted development while maintaining code quality and security
- Master prompt engineering to generate production-ready, well-tested code
- Design and optimize PostgreSQL schemas for high-volume transaction processing
- Create responsive dashboards and data visualizations with AI assistance
- Debug and quality-assure both AI-generated and hand-written code
- Evaluate and integrate open source solutions to accelerate development
- Establish best practices for AI-augmented development workflows and code review processes
What We're Looking For:
- 3-5 years full-stack development experience with modern frameworks
- Strong fundamentals in TypeScript/JavaScript, Python, and PostgreSQL
- Production experience with NestJS, Svelte, or similar frameworks
- Proven expertise using GitHub Copilot, Claude, or other AI coding assistants in production
- Experience with testing frameworks, API design, and DevOps practices
- Ability to craft effective prompts that generate secure, maintainable code
- Track record with open source contribution and integration
- Strategic mindset for when to leverage AI vs. manual coding approaches
Working Arrangement: Hybrid - Flexible remote work with periodic in-person collaboration
Growth Opportunities: Lead AI-augmented development initiatives, mentor engineers in AI workflows, and contribute to cutting-edge development practices
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