Mid level GenAI Engineers
Tasks
- Add runtime monitoring and observability
- Apply prompt engineering
- Build GenAI/agentic systems
- Build vector search and re ranking
- Conduct unit testing for GenAI solutions
- Deploy AI models in production
- Document results
- Evaluate LLM systems
- Implement MLOps pipelines
- Implement chunking and hybrid search
- Implement human-in-the-loop workflows
- Redact PII
- Select integrate and finetune LLMs
- Set up guardrails and policy filters
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | Agent Orchestration | Autogen | Azure | Classification | Computer Vision | CrewAI | Deep learning | DevOps | Google Cloud | Human-in-the-loop | Hybrid search | LLM Evaluation | Langchain | Langgraph | Langsmith | Language Models | Large Language Models | MLOps | Machine Learning | NLP | Object Detection | Pinecone | Prompt engineering | Python | Qdrant | Re-ranking | SQL | Semantic Kernel | The Loop | Vector Database
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