Senior AI Engineer, Enterprise AI
Tasks
- Analyze unstructured data
- Apply data preparation best practices
- Build agent workflows
- Build multi-step reasoning models
- Conduct code reviews
- Contribute to technical documentation
- Create actionable business insights
- Deploy models
- Design RAG models
- Develop agentic automation solutions
- Develop end user AI applications
- Ensure scalable solution delivery
- Improve existing models and processes
- Integrate ML and GenAI models
- Lead AI engineering projects
- Mentor team members
- Orchestrate large language models
- Perform feature engineering
- Research latest AI technologies
- Select and validate models
- Translate AI research into business solutions
Perks/Benefits
- 401k
- Accident insurance
- Dental insurance
- Disability insurance
- Life insurance
- Medical insurance
- Paid time off
- Tuition reimbursement
- Vision insurance
Skills/Tech-stack
AI Foundry | AWS Bedrock | Agentic Automation | Azure AI | Azure AI Foundry | Computer Vision | Deep learning | Feature Engineering | Fine Tuning | LLM Fine-tuning | LLM orchestration | Langgraph | Langsmith | Language Models | Large Language Models | Model Deployment | Model Validation | Retrieval-Augmented Generation | Self-Supervised Learning | Self-supervised | Supervised Learning | Transformers | Unstructured Data
Education
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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