Agentic AI Engineer
Tasks
- Build multi-agent workflows
- Deploy LLM applications on AWS
- Design AI agents
- Establish safety guardrails
- Evaluate agent performance
- Implement rag pipelines
- Integrate agents with enterprise tools
- Maintain Python code
- Monitor LLM execution
- Orchestrate autonomous systems
- Write technical documentation
Perks/Benefits
Skills/Tech-stack
AWS | Agent Development | Agent Development Kit | AgentOps | Amazon Bedrock | Azure AI | Chainlit | Chunking | Cloud platform | CrewAI | Google Cloud | Google Cloud Platform | Kubeflow | Langgraph | Langsmith | Langtrace | MLOps | MLflow | Model Context Protocol | Observability | Pinecone | Prompt injection | Python | RAG | React | Regression testing | Reinforcement Learning | Retrieval-Augmented Generation | Semantic Search | Streamlit | Vector Databases | Weaviate
Education
N/A
Roles
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