Mid level GenAI Engineers
Tasks
- Apply prompt engineering to use cases
- Build GenAI/agentic systems
- Collaborate with stakeholders
- Deploy models in production
- Document results
- Evaluate LLMs
- Implement chunking hybrid search vector stores re ranking and feedback loops
- Implement guardrails policy filters PII redaction runtime monitoring and observability
- Perform unit testing for GenAI solutions
- Select integrate finetune LLMs and multimodal models
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Autogen | Azure | Computer Vision | CrewAI | Deep learning | DevOps | Evaluation | GCP | Guardrails | Human-in-the-loop | Hybrid search | Image classification | LLM | Langchain | Langgraph | Langsmith | Language Processing | MLOps | Machine Learning | Natural Language | Natural Language Processing | Object Detection | Observability | Open Source | Open-source Models | PII Redaction | Pinecone | Python | Qdrant | Reranking | SQL | Semantic Kernel | The Loop | Vector Database
Education
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