AI Engineering Lead
Tasks
- Advise clients on AI roadmaps
- Build Retrieval Augmented Generation systems
- Build generative AI applications
- Build machine learning systems
- Control AI costs
- Define AI architecture
- Define AI engineering standards
- Deploy production AI systems
- Design AI solutions
- Develop AI Agent workflows
- Establish engineering best practices
- Evaluate emerging AI technologies
- Implement LLMOps pipelines
- Implement MLOps processes
- Lead AI engineering team
- Mentor engineers
- Monitor model performance
- Optimize latency
- Set up CI/CD pipelines
- Support secure scalable cloud deployments
Perks/Benefits
- Career growth
- Exposure to client projects
- Fully remote
- Leadership opportunities
- Professional development
- Work-life balance
Skills/Tech-stack
AI Agents | AI Observability | AWS | Azure | CI/CD | 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 | RAG | Retrieval-Augmented Generation | Scalable Architecture | Secure Software | Secure Software Development | Software development | TensorFlow | Vector Databases
Education
N/A
Roles
AI | AI Engineering | AI Engineering Lead | Engineer | Engineering Lead | Lead | Learning Engineer | Machine Learning Engineer
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