Senior AI Engineer
Tasks
- Build ML pipelines
- Build evaluation frameworks and monitoring
- Create guardrails for responsible AI
- Deploy models and AI services
- Design and build agentic AI systems
- Develop and deploy LLM-powered applications
- Develop backend services and REST APIs
- Implement rag pipelines
- Integrate AI models in cloud and on prem environments
- Perform fine tuning and prompt engineering
- Support continuous model improvement
- Use function calling and tools
Perks/Benefits
Skills/Tech-stack
AWS | Azure | CI/CD | Cloud platform | Docker | Fine Tuning | Function Calling | Google Cloud | Google Cloud Platform | Guardrails | Human Feedback | Kubernetes | LLMOps | Langchain | Learning from Human Feedback | Llamaindex | Model Evaluation | Prompt engineering | PyTorch | Python | RAG | REST APIs | Reinforcement Learning | Reinforcement Learning from Human Feedback | Scikit-learn | TensorFlow
Education
N/A
Roles
Regions
Countries
States
Cities
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