Senior Backend AI Engineer
Tasks
- Build Retrieval Augmented Generation systems
- Build applications with machine learning and large language models
- Create scalable AI architectures
- Deploy AI models as production services
- Design microservices architecture
- Design retrieval pipelines embedding pipelines and inference workflows
- Develop backend services and APIs for AI capabilities
- Implement intelligent assistants semantic search automation and recommendation systems
- Implement logging metrics and observability for AI systems
- Integrate AI into backend services and product workflows
- Integrate AI systems with databases internal services and external APIs
- Monitor AI services reliability and performance
- Optimize inference performance scalability and latency
- Track model performance and reliability in production
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | CPU Inference | Cloud infrastructure | Data Processing | Data Processing Pipelines | Databases | Distributed Systems | Docker | Embeddings | GPU Inference | Go | Inference | Java | Kubernetes | Language Models | Large Language Models | Logging | Machine Learning | Metrics | Microservices | Model Serving | Observability | Processing pipelines | Python | Retrieval-Augmented Generation | Semantic Search | Vector Databases
Education
N/A
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