AI & LLM Engineering Lead
Tasks
- Automate design validation
- Build LLM agents
- Build secure data pipelines
- Control model cost and risk
- Deploy AI LLM systems
- Design AI LLM solutions
- Develop AI governance framework
- Develop inference pipelines
- Enable knowledge retrieval and reasoning
- Ensure compliance with utility standards
- Ensure cybersecurity compliance
- Evaluate RAG vector store solutions
- Implement continuous learning pipelines
- Implement testing QA automation
- Integrate AI into power automation workflows
- Lead AI LLM strategy
- Manage fine tuning workflows
- Monitor model performance accuracy and drift
- Train and coach engineering teams
Perks/Benefits
- N/A
Skills/Tech-stack
API | AWS | Agentic AI | Automation workflows | Azure | CI/CD | Cloud infrastructure | Cloud platform | Cybersecurity | Data Governance | Generative AI | Google Cloud | Google Cloud Platform | IEC 61850 | Knowledge graphs | Language Models | Large Language Models | MLOps | Model versioning | Observability | On-Premises | PyTorch | Python | Retrieval-Augmented Generation | SCADA | TensorFlow | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
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