AI Engineer
Tasks
- Build and deploy agentic AI workflows
- Collaborate with Data Scientists to productionize models
- Design multi-agent architectures
- Develop AI and LLM solutions in Python
- Drive experimentation and rapid prototyping
- Implement retrieval augmented generation systems
- Integrate LLM observability and evaluation
- Monitor prompts and model performance
- Participate in architecture and code reviews
Perks/Benefits
Skills/Tech-stack
Agent systems | Agentic AI | Algorithms | Cloud Native | Data Structures | Embeddings | LLM Observability | Langchain | Langgraph | Language Models | Large Language Models | Machine Learning | Model Evaluation | Multi-Agent | Multi-Agent Systems | Prompt Monitoring | Python | RAG | Retrieval-Augmented Generation | Vector Databases
Education
N/A
Roles
AI | AI Engineer | Engineer
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