Senior Generative AI Engineer
Tasks
- Architect scalable secure AI platforms and services
- Assess risks for AI systems and deployments
- Build and optimize LLM based AI applications
- Develop prompt engineering frameworks and optimization strategies
- Ensure AI solutions are secure compliant and responsibly deployed
- Evaluate model outputs for accuracy and user experience
- Implement governance and monitoring controls
- Lead design and implementation of enterprise generative AI solutions
- Lead proof of concept and experimentation initiatives
- Manage deployment and lifecycle of AI applications
- Mentor junior engineers and AI practitioners
- Partner with business and technology leaders to deliver AI solutions
- Support AI strategy roadmap planning
- Translate business requirements into technical architectures
Perks/Benefits
Skills/Tech-stack
AI Governance | AI Security | AWS | Azure | Cloud Platforms | Cloud platform | Distributed Systems | Foundation Models | Generative AI | Google Cloud | Google Cloud Platform | Langchain | Langgraph | Language Models | Large Language Models | Llamaindex | MLOps | Model Evaluation | Prompt engineering | Python | Retrieval-Augmented Generation | Scalable architectures
Education
Bachelor of Engineering | Bachelor of Science | Master of Science | PhD
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