Senior AI Engineer
Tasks
- Apply responsible AI guardrails
- Build model evaluation frameworks
- Build multi agent workflows for enterprise customers
- Collaborate with customer stakeholders to deliver AI solutions
- Conduct Proof-Of-Concept demos
- Deploy models in production environments
- Design and build agentic AI systems
- Develop ML pipelines and LLMOps infrastructure
- Develop and deploy LLM-powered applications
- Develop backend services and REST APIs
- Fine-tune language models
- Implement function calling and tool use
- Implement rag pipelines
- Integrate AI models into cloud on premise and hybrid systems
- Perform prompt engineering
- Set up CI/CD pipelines for AI applications
Perks/Benefits
Skills/Tech-stack
AWS | Automl | Azure | CI/CD | Cloud platform | Docker | Fine Tuning | Google Cloud | Google Cloud Platform | Guardrails | Kubernetes | LLMOps | Langchain | Llamaindex | Machine Learning | Model Evaluation | Prompt engineering | PyTorch | Python | RAG | REST API | RLHF | Responsible AI | Scikit-learn | TensorFlow
Education
N/A
Roles
Regions
Countries
States
Cities
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