AI Engineer Mid-SR
Tasks
- Build intelligent agent solutions
- Collaborate with product, UX, data, and backend teams
- Create MCP and A2A agent architectures
- Deploy LLM-based applications
- Develop and validate agent workflows
- Implement RAG architectures
- Implement multi-agent coordination
- Integrate agent frameworks with tools and APIs
- Integrate with ERP and external systems
- Manage prompt versioning and decision traceability
- Monitor agent performance
- Write integration tests for agents
Perks/Benefits
Skills/Tech-stack
A2A | Agent to Agent | Asyncio | Autogen | CI/CD | Chroma | CrewAI | Docker | Embeddings | Event Driven | Event-driven architecture | FastAPI | GRPC | Kubernetes | Langchain | Llamaindex | MCP | MLOps | Microservices | Model Context Protocol | NLP | Pinecone | Pydantic | Python | REST APIs | Retrieval-Augmented Generation | Semantic Kernel | Vector Databases | Weaviate
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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