AI Engineering Lead
Tasks
- Build AI agent workflows
- Build Retrieval Augmented Generation systems
- Build generative AI applications
- Collaborate with cross-functional teams
- Deliver production-ready machine learning solutions
- Design AI architecture and implementation strategy
- Design AI driven microservices
- Ensure security scalability and operational excellence
- Establish AI engineering best practices
- Evaluate emerging AI technologies
- Implement MLOps and LLMOps pipelines
- Lead AI engineering team
- Mentor and develop engineers
- Monitor models and optimize performance
Perks/Benefits
- Career advancement
- Collaborative engineering culture
- Fully remote work environment
- Leadership opportunities
- Professional development
- Work-life balance
Skills/Tech-stack
AI Agents | 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 | Scalability | Security | TensorFlow | Vector Databases
Education
N/A
Roles
AI | AI Engineering | AI Engineering Lead | Engineering Lead | Lead
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