Agentic AI with GCP
Tasks
- Build LLM applications
- Design AI agents
- Evaluate AI agent performance
- Execute workflow automation
- Implement intelligent autonomous systems
- Implement prompt engineering
- Integrate agents with enterprise systems
- Integrate enterprise APIs
- Reason and plan complex workflows
- Use GCP for model and agent deployment
Perks/Benefits
- Career growth programs
- Certification support
- Flexible work hours
- Remote work
- Training programs
- Work-life balance programs
Skills/Tech-stack
AI Agents | AI Evaluation | API Integration | Agentic AI | Cloud Run | Cloud Workflows | Cloud platform | CrewAI | Enterprise API | Enterprise API integration | Google Cloud | Google Cloud Platform | Langchain | Langgraph | Language Models | Large Language Models | Prompt engineering | Python | Responsible AI | Vertex AI
Education
N/A
Roles
AI | AI Developer | AI Engineer | Agentic AI Developer | Developer | Engineer
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