AI Engineering Lead
Tasks
- Build AI agent workflows
- Build production AI solutions
- Build retrieval augmented generation platforms
- Collaborate with cross-functional teams
- Control inference cost
- Define AI architecture
- Deploy AI solutions to cloud
- Develop AI roadmaps
- Develop generative AI applications
- Develop machine learning systems
- Ensure delivery quality
- Establish AI engineering best practices
- Establish AI-first development standards
- Evaluate emerging technologies
- Implement AI microservices
- Lead AI engineering team
- Manage multiple AI projects
- Mentor AI engineers
- Monitor model performance
- Optimize AI deployments
- Optimize latency
- Select AI technologies
- Translate technical concepts for stakeholders
Perks/Benefits
- Career advancement potential
- Collaborative engineering culture
- Exposure to diverse client engagements
- Fully remote work
- Leadership opportunities
- Professional development opportunities
- 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 optimization | Llamaindex | MLOps | Machine Learning | Model Monitoring | Performance optimization | PyTorch | Python | Retrieval-Augmented Generation | 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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