Senior Applied AI Engineer - Energy Industry
Tasks
- Architect and deliver secure scalable LLM and agent systems
- Build retrieval augmented generation applications
- Deliver pre sales and post sales technical engagements
- Demonstrate solution value to energy executives
- Develop AI safety evaluations and guardrails
- Drive proof of value project execution end to end
- Integrate AI solutions with enterprise data and identity systems
- Lead technical discovery and solutioning for energy customers
- Prototype AI solutions in customer hackathons
- Serve as energy domain subject matter expert
Perks/Benefits
Skills/Tech-stack
AWS Bedrock | Agent Orchestration | Azure AI | Few-Shot Learning | Few-shot | Fine Tuning | Function Calling | Generative AI | Google Cloud | Google Cloud Vertex | Google Cloud Vertex AI | LLM orchestration | Langchain | Llamaindex | Machine Learning | Model Monitoring | Multi-Agent | Multi-agent orchestration | Multimodal Understanding | Pandas | Process mining | Prompt engineering | PyTorch | Pydantic | Python | RAG | Retrieval-Augmented Generation | Scikit-learn | Vertex AI
Education
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