AI Engineering Lead
Tasks
- Build machine learning systems
- Collaborate with cross-functional teams for deployment
- Create AI driven microservices
- Define AI architecture and engineering best practices
- Design and deliver production AI solutions
- Develop AI Agent workflows
- Develop generative AI applications
- Establish AI-first development standards
- Evaluate emerging AI technologies
- Implement Retrieval-Augmented Generation (RAG) systems
- Lead and mentor AI engineering team
- Oversee AI project execution and delivery
Perks/Benefits
- Career advancement
- Collaborative engineering culture
- Fully remote work
- Leadership opportunities
- Professional development
- Work-life balance
Skills/Tech-stack
AI Agents | AI Observability | AWS | 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 | Microsoft Azure | Model Monitoring | Performance optimization | PyTorch | Python | Retrieval-Augmented Generation | Security | TensorFlow | Vector Databases
Education
N/A
Roles
AI | AI Engineering | AI Engineering Lead | Architect | Engineer | Engineering Lead | Lead | Learning Engineer | Machine Learning Engineer | Software Architect
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