AI Agent Engineer
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Requirements
- Design and implement autonomous AI agents using frameworks like LangChain, LlamaIndex, or CrewAI
- Develop prompt engineering strategies and fine-tune LLM behaviors for recruiting workflows
- Build and optimize RAG systems with vector databases (Pinecone, Weaviate, Milvus)
- Write production-ready Python code with strong testing and documentation practices
- Collaborate with product and data teams to define agent evaluation metrics and feedback loops
- Deploy and monitor AI systems in cloud environments (AWS, GCP, or Azure)
- Troubleshoot LLM failures, hallucinations, and edge cases in real-world scenarios
Required Skills
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