Principal Software Engineer
Tasks
- Build and optimize AI agent frameworks
- Build microservices and APIs
- Design RAG pipelines
- Design scalable backend systems
- Develop real-time and batch inference pipelines
- Implement CI/CD pipelines
- Implement MCP servers
- Integrate large language models into production
- Optimize AI infrastructure performance scalability reliability security
- Set up monitoring observability and autoscaling
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Asynchronous programming | Azure | CI/CD | Cloud platform | Distributed Systems | Docker | Faiss | Generative AI | Google Cloud | Google Cloud Platform | Inference Server | Infrastructure as Code | JAX | Kafka | Kubernetes | Langchain | Language Models | Large Language Models | MLOps | Microservices | Model Context Protocol | NoSQL | ONNX Runtime | Pinecone | PyTorch | Python | RabbitMQ | Ray Serve | Redis | Retrieval-Augmented Generation | SQL | System design | TensorFlow | Torchserve | Triton Inference | Triton Inference Server | Vector Databases | Weaviate | “as-code”
Education
N/A
Roles
AI | AI Engineer | Engineer | Principal | Principal Software Engineer | Software Engineer
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