AI Lead (Doha , Qatar)

Tasks

• Apply post retrieval ranking and re ranking
• Build CI CD pipelines with prompt regression testing
• Build retrieval-augmented generation pipelines
• Deploy and scale services with container platforms
• Design scalable backend services for Generative AI applications
• Design scalable generative AI pipelines
• Develop ingestion pipelines for unstructured and structured data
• Implement RBAC and multi tenant personalization
• Implement hybrid retrieval using vector search and SQL sources
• Implement prompt engineering and schema constrained generation
• Integrate LLM APIs and build backend AI interfaces
• Mitigate hallucinations and enforce safety controls
• Monitor and observe model and backend performance
• Orchestrate data flow across LLMs and services

Perks/Benefits

• N/A

Skills/Tech-stack

AWS | Autoscaling | Azure | CI/CD | Caching | DPO | Docker | Faiss | Fallback Routing | Fine Tuning | GCP | Git | Grafana | KV store | Kubernetes | LLMOps | Langchain | Langfuse | Langgraph | MLOps | Microservices | Multi-tenant | Multi-tenant architecture | OCR | Observability | Output Validation | Prometheus | Prompt Regression Testing | Prompt engineering | PyTorch | Python | Qdrant | RAG | RBAC | REST | RLHF | Re-ranking | Regression testing | Retrieval-Augmented Generation | Schema Constrained Generation | SentenceTransformers | Speculative decoding | Temperature Tuning | Tenant architecture | Token Tuning | Transformers | Vector Databases | Weaviate