Lead Generative AI Engineer
Tasks
- Architect scalable secure cost efficient AI platforms
- Define GenAI architecture and standards
- Design RAG pipelines for retrieval augmented generation
- Develop enterprise AI copilots and assistant applications
- Establish LLMOps prompt and evaluation best practices
- Evaluate LLMs and frameworks to guide AI technology roadmap
- Implement hallucination mitigation AI evaluation security privacy and governance
- Mentor AI ML and GenAI engineers
- Optimize latency throughput GPU utilization inference cost scalability and reliability
- Orchestrate AI agents and tool calling workflows
- Take GenAI solutions from prototype to production deployment
Perks/Benefits
- N/A
Skills/Tech-stack
AI Agents | AI Governance | AI Observability | AWS | Agent Orchestration | CI/CD | Cloud platform | Context Management | Distributed Systems | Docker | Embeddings | FastAPI | GPU Inference | Google Cloud | Google Cloud Platform | Guardrails | Hallucination mitigation | Kubernetes | LLMOps | Language Models | Large Language Models | LoRA | Machine Learning | Microsoft Azure | Model Evaluation | Model Serving | Multi-Agent | Multi-agent orchestration | PEFT | Prompt engineering | Prompt management | Python | Reranking | Responsible AI | Retrieval-Augmented Generation | Semantic Search | Tool-Calling | Vector Database | Vector Retrieval
Regions
Countries
States
Cities
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