Principal AI Engineer – Agentic AI
Tasks
- Automate agentic AI application deployment
- Build and maintain Kubernetes environments
- Build and maintain developer tools
- Build data management services in Python
- Collaborate with cross-functional teams
- Develop and manage cloud based AI services
- Develop backend APIs and services
- Implement CI/CD pipelines
- Implement observability systems
- Implement security controls
- Lead enterprise design for agentic AI applications
- Mentor peers
- Set engineering standards
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Azure | CI/CD | Cloud Computing | Containerization | Continuous Delivery | Distributed Systems | Docker | Embeddings | FastAPI | Flask | GCP | GRPC | Generative AI | Kubernetes | Langchain | Language Models | Large Language Models | Llamaindex | Machine Learning | Model Deployment | Model Evaluation | Model Monitoring | Observability | PyTorch | Pydantic | Python | RAG | REST | Security controls | TensorFlow
Education
Roles
AI | AI Engineer | Engineer | Principal | Principal AI Engineer
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