GEN AI Chartered Engineer
Tasks
- Build scalable secure cost efficient GenAI platforms
- Define enterprise generative AI platform architecture
- Deploy and scale GenAI systems in production
- Develop LLMOps and RAG pipelines
- Ensure security, privacy, and responsible AI compliance
- Establish engineering standards and best practices
- Implement prompt management and evaluation
- Lead enterprise AI copilots and assistants
- Mentor ML and GenAI engineers
- Optimize model latency throughput and reliability
- Orchestrate AI agents and tool calling
Perks/Benefits
- N/A
Skills/Tech-stack
AI Agents | AWS | CI/CD | Cloud Architecture | Context Management | DevOps | Distributed Systems | Docker | Embeddings | FastAPI | Fine Tuning | GPU Inference | Google Cloud | Guardrails | Hallucination mitigation | Kubernetes | LLMOps | Langchain | Language Models | Large Language Models | Llamaindex | LoRA | MLflow | Microsoft Azure | Model Evaluation | PEFT | Prompt engineering | Python | RAG | Retrieval-Augmented Generation | Semantic Search | Tool-Calling | Vector Databases
Education
Roles
AI Engineer | Engineer | Generative AI Engineer | ML Engineer
Regions
Countries
States
Cities
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