Full Stack Engineer, AI systems
Tasks
- Build production backend systems for AI features
- Create stable APIs for frontend and ML integration
- Design inference pipelines and orchestration layers
- Handle agent failure recovery and delivery workflows
- Optimize latency and throughput for inference and streaming
- Own monitoring logging alerting and incident response
Perks/Benefits
- N/A
Skills/Tech-stack
Alerting | Batching | Caching | Distributed Systems | Docker | Embeddings | Inference pipeline | Kubernetes | LLM | Logging | MongoDB | Monitoring | Multimodal | Node.js | OpenAI | Orchestration | PostgreSQL | PyTorch | Python | Streaming
Education
N/A
Roles
Engineer | Full Stack | Full Stack Engineer | Stack Engineer
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