Agentic AI Engineer
Tasks
- Add guardrails for response accuracy
- Apply reflection and response verification
- Build agentic AI multi node decision models
- Cite sources in generated responses
- Create multi-agent workflows
- Deploy and maintain AI driven systems at scale
- Design state graphs and agentic memory
- Develop semantic search systems
- Implement human in the loop review
- Implement retrieval-augmented generation
- Integrate API calling into agent workflows
- Research and architect LLM driven systems
- Troubleshoot and optimize LLM code workflows
Perks/Benefits
- Company-Paid Holidays
- Employee assistance program
- Life and disability insurance
- Medical, dental, and vision insurance
- Paid time off
- Retirement savings plan
- Sick leave
Skills/Tech-stack
API Integration | Agent systems | Agentic AI | Artificial Intelligence | DevOps | Docker | Fine Tuning | Gemini API | Google Gemini | Google Gemini API | Human-in-the-loop | Kubernetes | LLM orchestration | Langchain | Langgraph | Langsmith | Language Models | Large Language Models | Machine Learning | Multi-Agent | Multi-Agent Systems | OpenAI API | RAG | Retrieval-Augmented Generation | Semantic Search | State graphs | The Loop | Vector Databases
Education
N/A
Roles
Regions
Countries
States
Cities
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