AI Engineering Lead
Tasks
- Build AI agent workflows
- Build machine learning systems
- Define AI architecture
- Design production AI solutions
- Develop AI driven microservices
- Develop generative AI applications
- Establish AI engineering best practices
- Evaluate emerging AI technologies
- Implement cloud deployment standards
- Implement retrieval augmented generation systems
- Implement security and scalability practices
- Lead AI engineering team
- Mentor engineers
- Monitor model quality and latency
- Optimize AI solution performance
- Oversee AI project delivery
- Set code quality standards
Perks/Benefits
- Career advancement
- Collaborative engineering culture
- Exposure to emerging technologies
- Fully remote work
- Leadership opportunities
- Professional development
- Work-life balance
Skills/Tech-stack
AI Observability | AWS | Azure | CI/CD | Cloud Architecture | Cost Optimization | Docker | Generative AI | Google Cloud | Kubernetes | LLMOps | Langchain | Language Models | Large Language Models | Latency management | Llamaindex | MLOps | Machine Learning | Model Monitoring | Performance optimization | PyTorch | Python | Retrieval-Augmented Generation | TensorFlow | Vector Databases
Education
N/A
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