Senior AI Engineer
Tasks
- Apply prompt engineering
- Build multi-agent frameworks
- Build scalable backend services and REST APIs
- Collaborate with customers to deliver AI solutions
- Create proof of concept demonstrations
- Deploy AI services to AWS Azure or GCP and Kubernetes
- Design Agentic AI systems
- Develop ML pipelines
- Develop and deploy LLM-powered applications
- Ensure responsible AI controls
- Implement LLMOps monitoring and continuous improvement
- Implement guardrails and evaluation frameworks
- Implement rag pipelines
- Integrate AI models with cloud and on prem environments
- Perform model fine-tuning
- Use function calling and tools
Perks/Benefits
Skills/Tech-stack
AWS | Azure | CI/CD | Cloud platform | Docker | Fine Tuning | Google Cloud | Google Cloud Platform | Guardrails | Kubernetes | LLMOps | Langchain | Llamaindex | MLOps | Model Evaluation | Prompt engineering | PyTorch | Python | RAG | REST APIs | RLHF | Responsible AI | Scikit-learn | TensorFlow
Education
N/A
Roles
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