AI Engineer
Tasks
- Apply governance security and responsible AI
- Build AI agents and copilots
- Create reusable AI components
- Deploy AI solutions to Azure
- Design AI applications
- Design data protection controls
- Design prompt and evaluation processes
- Develop APIs and connectors
- Develop LLM RAG systems
- Evaluate AI risks and guardrails
- Implement event-driven workflows
- Implement observability and monitoring
- Integrate AI with enterprise SaaS
- Optimize scalability performance and cost
- Orchestrate AI workflows
- Translate business requirements into solutions
- Troubleshoot production AI systems
Perks/Benefits
- 401k matching
- Dental insurance
- Health insurance
- Health savings account
- Life insurance
- Long-term disability
- Paid time off
- Training and development
- Vision insurance
- Work-life balance
Skills/Tech-stack
APIs | AWS | Azure | Azure OpenAI | Embeddings | Event Driven | Event-driven architecture | GCP | Langchain | Language Models | Large Language Models | Microservices | Microsoft 365 | Netsuite | Prompt engineering | Python | RAG | Semantic Kernel | ServiceNow | System Integration | Vector Databases
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
AI | AI Engineer | Engineer
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