AI/ML Engineer
Tasks
- Build agentic AI layers for prototypes
- Collaborate on agent UI user experience patterns
- Define evaluation frameworks for agent quality
- Design reliable explainable agent architectures
- Evaluate and improve agent performance
- Integrate agents with APIs services and data flows
- Iterate prototypes based on stakeholder feedback
- Maintain engineering quality in rapid prototyping
- Manage prompts and context
- Select models and tools for use cases
Perks/Benefits
- N/A
Skills/Tech-stack
API Integration | Agent Orchestration | Agent systems | Cloud Computing | Cloud platform | Context engineering | Evaluation Frameworks | GCP | Google ADK | Google Cloud | Google Cloud Platform | Language Models | Large Language Models | Model selection | Multi-Agent | Multi-Agent Systems | Prompt engineering | Python | Retrieval | Tool-Calling | Vertex AI
Education
N/A
Roles
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