Senior GenAI Engineer
Tasks
- Build generative AI agentic systems
- Deploy generative AI models in production
- Develop unit tests for generative AI solutions
- Document evaluation results
- Evaluate large language models
- Implement LLM guardrails policy filters and PII redaction
- Implement chunking hybrid search and vector retrieval
- Implement re ranking and feedback loops
- Monitor and observe agent runtime behavior
- Perform prompt engineering for use cases
- Select integrate and fine tune LLMs and multimodal models
Perks/Benefits
- N/A
Skills/Tech-stack
Agent observability | Amazon Web Services | Autogen | Azure | Cloud platform | Computer Vision | CrewAI | Deep learning | DevOps | Google Cloud | Google Cloud Platform | Human-in-the-loop | Hybrid search | Langchain | Langgraph | Langsmith | Language Processing | MLOps | Machine Learning | Model Evaluation | Natural Language | Natural Language Processing | Object Detection | Open Source | Open-source Models | PII Redaction | Pinecone | Prompt engineering | Python | Qdrant | Re-ranking | Runtime Monitoring | SQL | Semantic Kernel | The Loop | Vector Databases | Web Services
Education
N/A
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