Python, AI Agents, LangGraph, MCP
Python, AI Agents, LangGraph, MCP
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Job Description
Greetings
Role : Backend/Agent Engineer Python AI Agents LangGraph MCP
Location : Alpharetta GA or Seattle WA
Duration: 12 months contract
Position Overview:
We are seeking an experienced Backend/Agent Engineer to join our team specializing in designing developing and maintaining robust backend systems for AI-driven agent this role you will focus on architecting scalable reliable backend services and integrating advanced AI agents using Python and frameworks like LangGraph and MCP (Model Composition/Coordination Platform). You will work closely with multidisciplinary teams to deliver intelligent context-aware solutions that power real-world applications.
Key Responsibilities:
Backend System Development:
Architect implement and maintain scalable backend services and APIs using Python (FastAPI Flask Django) to support AI agent operations.
AI Agent & MCP Integration:
Develop deploy and orchestrate autonomous AI agents and leverage MCP to coordinate multiple AI models and agent workflows ensuring seamless interoperability and orchestration.
Agent Orchestration & Workflow:
Utilize frameworks like LangGraph and MCP to design compose and manage complex agent workflows multi-agent coordination and state management.
System Integration:
Integrate external data sources third-party APIs vector databases and machine learning models to enhance agent capabilities.
Performance & Reliability:
Optimize system performance ensure high availability and implement robust logging monitoring and error-handling solutions.
Collaboration:
Work cross-functionally with front-end developers data scientists and product teams to translate requirements into technical designs and deliverables.
Security & Compliance:
Implement best practices for data security privacy and compliance in all backend operations.
Required Skills & Qualifications:
Strong experience with backend Python frameworks (FastAPI Flask Django) RESTful API design and database management (SQL/NoSQL).
Proven expertise in integrating and orchestrating AI agents LLMs or multi-agent systems in production environments.
Hands-on experience with MCP (Model Composition/Coordination Platform) for coordinating and managing AI models and agent workflows.
Familiarity with agent workflow orchestration tools such as LangGraph.
Experience with containerization (Docker) CI/CD pipelines and cloud infrastructure (AWS GCP Azure).
Knowledge of vector databases data pipelines and scalable distributed systems.
Excellent problem-solving abilities attention to detail and communication skills.
Preferred:
Background in designing backend architectures for AI or data-intensive applications.
Experience with knowledge graphs RAG pipelines or advanced agent coordination.
Open-source contributions or experience with modern agent/LLM frameworks MCP or similar platforms.
Employment Type
Full-time
