AI Agent Architect
Primary stack
Nice to have's
Job description
About the Position
We are seeking experienced AI Agent Architects to design and implement multi-agent systems using Python, LangChain, and RAG.
Responsibilities
- Design and implement multi-agent systems
- Develop scalable AI solutions
- Integrate APIs and connect LLMs with business tools
- Ensure secure and efficient AI infrastructure
Requirements
- AI agent development
- AI agent orchestration
- AI system design
- Python
- LangChain
- RAG
- LLM
- MCP
- FastMCPL
- OpenAI API
- PostgreSQL
- AWS
- Machine learning
- Deep Learning
- Reinforcement Learning
- Vector Databases
- Prompt engineering
- AI benchmarking
- Data Science
Nice to Have
- LangGraph
- Anthropic
- Pinecone
- FastAPI
- Qdrant
- Amazon EC2
- REST API
- AWS Lambda
- Redis
- Docker
- Kubernetes
- Next.js
- React
- React Native
- Cloud Computing
- SQL
- Scikit-learn
- Tensorflow
- Keras
- Cloud Computing
- LangGraph
- Machine learning
- Deep Learning
- Reinforcement Learning
- Vector Databases
- Prompt engineering
- AI benchmarking
- Data Science
We Offer
- Part-time & Full-time positions
- Competitive salary
- Opportunity to work with cutting-edge AI technologies
- Collaborative and innovative work environment
About the Company
Hire MCP developers to build scalable AI systems, integrate APIs, and connect LLMs with real business tools through secure MCP infrastructure.
© Lemon.io. This job description was sourced from the employer's public career page. TheJob is not the employer — we index the posting and route candidates to the source. All content rights and hiring decisions belong to the employer.
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