AI Engineering Lead
Tasks
- Architect conversational AI systems
- Build RAG pipelines
- Build scalable data ingestion pipelines
- Create secure performant APIs
- Deploy services with Docker and Kubernetes
- Develop real time conversational customer support platform
- Enforce data security & compliance
- Implement automated regression testing
- Implement vector search for knowledge retrieval
- Lead design and code reviews
- Mentor engineers
- Optimize LLM inference latency
- Orchestrate multi-agent workflows
- Set up monitoring and evaluation metrics
Perks/Benefits
- Additional vacation days
- Birthday off
- Holiday days after first anniversary
- Paid leave for new parents
- Remote work flexibility
Skills/Tech-stack
Adversarial security | Agentic AI | Autogen | Batching | CI/CD | Context engineering | CrewAI | Data Security | Distillation | Docker | Embedding Models | Encryption | Evaluation | FastAPI | Flink | GDPR | GPU resource management | GRPC | Git | Hugging Face | Java | Kafka | Kubeflow | Kubernetes | LLMs | Langchain | Langgraph | Llamaindex | MLOps | MLflow | Milvus | Monitoring | PII Redaction | Pinecone | Pruning | PyTorch | Python | Qdrant | Quantization | RabbitMQ | Red Teaming | Regression testing | Resource Management | Retrieval-Augmented Generation | Saudi PDPL | Scikit-learn | Semantic Caching | Spark | System design | Token streaming | Tool-Calling | Vector Databases | Vector Search | Weaviate
Education
N/A
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