AI Full-Stack Engineer
Tasks
- Build CI/CD pipelines
- Build and deploy cloud infrastructure
- Build full-stack services and APIs
- Build scalable, secure distributed systems
- Collaborate with product and engineering teams
- Design AI orchestration workflows
- Design production AI applications
- Develop AI agents and copilots
- Develop MCP integrations
- Develop React frontends
- Drive engineering productivity automation
- Implement AI evaluation and observability
- Implement RAG solutions
- Implement infrastructure-as-code
- Integrate LLMs into production
- Own features end-to-end
- Research and evaluate emerging AI technologies
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | AWS | CI/CD | Context engineering | Distributed Systems | Docker | Infrastructure as Code | Kubernetes | LLM | Langchain | Langfuse | Langgraph | Llamaindex | Microservices | Model Context Protocol | Node.js | Prompt engineering | Python | RAG | React | TypeScript | Vector Databases | “as-code”
Education
N/A
Roles
AI | AI Engineer | Engineer | Full Stack | Full Stack Engineer | Stack Engineer
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