Senior Ai Engineer
Tasks
- Collaborate with researchers and product teams
- Contribute to large scale systems architecture
- Design and implement AI agents
- Develop agent architectures
- Implement MLOps and LLMOps pipelines
- Implement safety and guardrail mechanisms
- Integrate agents into applications and APIs
- Lead model lifecycle initiatives
- Maintain technical documentation
- Monitor agent performance and evaluations
- Optimize agent behavior
Perks/Benefits
- N/A
Skills/Tech-stack
API Development | Agent systems | Backend Services | CI/CD | Docker | Fine Tuning | Hugging Face | Kubeflow | Kubernetes | LLM Applications | LLMOps | Langchain | Language Models | Large Language Models | MLOps | MLflow | Machine Learning | Model Evaluation | Model Fine-tuning | Model Monitoring | Model Training | Model versioning | Multi-Agent | Multi-Agent Systems | OpenAI API | Planning Algorithms | Prompt engineering | PySpark | PyTorch | Python | Reinforcement Learning | Retrieval-Augmented Generation | Scikit-learn | Vector Databases
Education
Roles
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