Principal Agentic AI Engineer
ILS 338K-473K (estimate) Senior-level Full Time
Tasks
- Assess foundation model and agentic system approaches
- Build Retrieval Augmented Generation systems
- Build modular, reusable components
- Create memory and state management components
- Design agentic AI solutions
- Develop human-in-the-loop workflows
- Develop large language model based agents
- Evaluate model prompts and retrieval strategies
- Implement error handling traceability and safeguards
- Implement reasoning and planning
- Integrate agent workflows with enterprise platforms
- Integrate tool use and workflow orchestration
- Optimize prompt and context engineering
- Prototype Agentic AI applications
- Run structured testing and user feedback loops
Perks/Benefits
- N/A
Skills/Tech-stack
API Integration | Agentic AI | Automated testing | Cloud Computing | Containerization | Context engineering | Databases | Embeddings | Evaluation metrics | Generative AI | Human-in-the-loop | Language Models | Language Processing | Large Language Models | Machine Learning | Memory Management | Model Serving | Natural Language | Natural Language Processing | Prompt engineering | Python | Retrieval-Augmented Generation | State management | The Loop | Tool use | Vector Search | Version control | Workflow Orchestration
Education
Roles
AI Engineer | Agentic AI Engineer | Engineer | Principal | Principal AI Engineer
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