AI Engineer
Tasks
- Apply MLOps for continuous deployment
- Build asynchronous Python services
- Collaborate with product and data teams to map business needs
- Design intelligent agent architecture
- Develop MCP and A2A workflows
- Implement multi-agent coordination
- Integrate LLM tools frameworks
Perks/Benefits
- N/A
Skills/Tech-stack
A2A | Agent monitoring | Asyncio | Autogen | Automated retraining | CI/CD | CrewAI | Docker | FastAPI | Kubernetes | Langchain | Llamaindex | MCP | MLOps | Pydantic | Python | RAG | Retrieval-Augmented Generation | Semantic Kernel | Vector Databases
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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