Diversity Nexus · 4 months ago
Backend/Agent Engineer – Python, AI Agents, LangGraph, MCP
GA
Full-time
Onsite
Mid, Senior LevelDiversity Nexus is seeking an experienced Backend/Agent Engineer to join their team, specializing in designing, developing, and maintaining robust backend systems for AI-driven agent platforms. The role involves architecting scalable backend services and integrating advanced AI agents using Python and frameworks like LangGraph and MCP.
Staffing & Recruiting
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
Qualification
Required
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
Company
Diversity Nexus
201-500 employees
Funding
Current Stage
Growth StageCompany data provided by crunchbase