BackendAgent Engineer – Python, AI Agents, LangGraph, MCP
BackendAgent Engineer – Python, AI Agents, LangGraph, MCP
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Job Description
Job Description:
We are seeking an experienced Backend/Agent Engineer to design develop and maintain robust backend systems for AI-driven agent platforms. The role centers on building scalable services and integrating AI agents with frameworks like LangGraph and MCP.
Roles and Responsibilities:
Architect and maintain backend services and APIs (Python: FastAPI Flask Django).
Develop and orchestrate AI agents leveraging MCP for model/agent coordination.
Design multi-agent workflows and orchestration using LangGraph and MCP.
Integrate data sources APIs vector DBs and ML models.
Optimize performance reliability and implement monitoring/logging.
Collaborate cross-functionally with product ML and engineering teams.
Ensure compliance and best practices in backend operations.
Required Skills:
Strong backend Python (FastAPI Flask Django) and API/database management.
Proven experience orchestrating AI agents/LLMs in production.
Hands-on MCP expertise for coordinating models/agents.
Familiar with LangGraph for workflow orchestration.
Containerization (Docker) CI/CD and cloud (AWS/GCP/Azure).
Vector DB and scalable system experience.
Strong problem-solving and communication skills.
Preferred:
Background in backend AI/data-intensive system architectures.
Experience with RAG pipelines knowledge graphs agent coordination.
Open-source contributions in agent/LLM frameworks.
Employment Type
Full-time
