Fullstack AI Engineer (Onsite, Lahore, PKR Salary)
Tasks
- Build and maintain RAG pipelines
- Build internal tools and user interfaces
- Deploy and manage model-serving infrastructure
- Deploy and optimize LLMs for production
- Design and develop scalable AI APIs
- Ensure security, data privacy, and compliance
- Evaluate and improve model quality
- Implement inference optimization techniques
- Implement monitoring, logging, and alerting
- Implement prompt management and A B testing
- Integrate LLM services into web and mobile applications
- Optimize hardware utilization for inference workloads
- Prototype test and iterate AI features
Perks/Benefits
Skills/Tech-stack
AWS | Asynchronous Architecture | Azure | Batching | CI/CD | Caching | Claude | Distributed Systems | Django | Docker | Embeddings | FastAPI | GCP | GPT-4 | GPU Workloads | Grafana | Inference Optimization | JavaScript | Knowledge Distillation | Kubernetes | LLM | LLM Inference | LLM Inference Optimization | Llama | Mistral | Model Quantization | Multimodal AI | Next.js | Node.js | OpenTelemetry | Prometheus | Python | RAG | React | Transformer Models | TypeScript | Vector Databases | Vector Search
Education
N/A
Roles
AI Engineer | Backend | Backend Engineer | Engineer | Fullstack AI Engineer
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