AI Engineer
Tasks
- Add human in the loop mechanisms
- Architect AI agents for multi step reasoning
- Build end-to-end MLOps pipelines
- Build retrieval-augmented generation pipelines
- Create technical documentation
- Deploy models as scalable APIs or batch services
- Design, fine-tune, and deploy LLM solutions
- Develop prompt engineering strategies
- Establish guardrails monitoring and audit logging
- Evaluate and benchmark foundation models
- Implement CI CD for machine learning models
- Implement agentic workflows
- Integrate AI agents with APIs
- Integrate LLMs with enterprise systems
- Maintain model governance and versioning
- Mentor junior team members
- Monitor model performance drift and anomalies
- Translate requirements into AI solutions
Perks/Benefits
Skills/Tech-stack
API Integration | Agentic Workflows | Audit Logging | CI/CD | Generative AI | Human-in-the-loop | LLM Evaluation | Langchain | Language Models | Large Language Models | Llamaindex | MLOps | Machine Learning | Model Governance | Model Monitoring | Prompt engineering | Retrieval-Augmented Generation | The Loop | Vector Databases
Education
N/A
Roles
AI | AI/ML Engineer | Engineer | Learning Engineer | ML Engineer | Machine Learning Engineer
Regions
Countries
States
Cities
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