Lead AI Engineer
Tasks
- Architect Generative AI solutions
- Architect enterprise AI platforms
- Build cloud native AI microservices
- Conduct prompt engineering and model orchestration
- Deliver production AI solutions
- Deploy and monitor AI models
- Design and implement machine learning platforms
- Ensure AI scalability resilience security compliance
- Establish AI engineering standards
- Implement MLOps and AgenticOps capabilities
- Implement RAG with vector databases
- Lead technical design reviews and architecture governance
- Mentor AI engineers
- Perform model evaluation and governance
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | AWS | Azure | CI/CD | Cloud platform | Compliance | Containerization | Distributed Systems | Evaluation | Event Driven | Event-driven architecture | Generative AI | Google Cloud | Google Cloud Platform | Infrastructure automation | Kubernetes | LLMs | Langchain | Langgraph | Llamaindex | MLOps | Machine Learning | Microservices | Model Governance | Model Orchestration | Observability | Prompt engineering | PyTorch | Python | RAG | Scikit-learn | Security | TensorFlow | Vector Databases
Education
Roles
AI | AI Engineer | Engineer | Lead | Lead AI | Lead AI Engineer
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