AI Engineering Lead
Tasks
- Build AI agent workflows
- Build Retrieval Augmented Generation systems
- Build generative AI applications
- Collaborate with stakeholders on AI roadmaps
- Define MLOps workflows
- Design AI architecture
- Develop production AI solutions
- Establish AI engineering best practices
- Evaluate emerging AI technologies
- Implement machine learning systems
- Lead AI engineering team
- Manage AI project delivery
- Mentor engineers
Perks/Benefits
- Career advancement
- Client exposure
- Fully remote
- Leadership opportunities
- Professional development
- Work-life balance
Skills/Tech-stack
AI Observability | AWS | Azure | CI/CD | Cloud Architecture | Cost Management | 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 | Scalability | Security | TensorFlow | Vector Databases
Education
N/A
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