Senior AI Engineer, Enterprise AI
Tasks
- Analyze unstructured data
- Apply data preparation and feature engineering best practices
- Build agent workflows
- Build agentic automation solutions
- Collaborate cross functionally to deliver integrated solutions
- Conduct AI research
- Contribute to technical documentation
- Design RAG models
- Develop multi step reasoning models
- Integrate ML and GenAI models into end user AI applications
- Lead AI engineering project execution
- Lead development of AI-driven solutions
- Mentor peers and share knowledge
- Monitor and improve deployed models
- Orchestrate LLM workflows
- Perform code reviews
- Translate AI research into business solutions
- Validate and deploy AI models
Perks/Benefits
- 401k plan
- Accident insurance
- Dental insurance
- Disability insurance
- Life insurance
- Medical insurance
- Paid time off
- Tuition reimbursement
- Vision insurance
Skills/Tech-stack
A2A | AI Foundry | AWS AgentCore | AWS Bedrock | Agentic Orchestration | Azure AI | Azure AI Foundry | Computer Vision | Deep learning | Fine Tuning | LLM Fine-tuning | LLM orchestration | Langgraph | Langsmith | Language Models | Large Language Models | MCP | Machine Learning | Python | RAG | Self-Supervised Learning | Self-supervised | Supervised Learning | Transformers
Education
Roles
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