Backend/Agent Engineer

Role: Backend/Agent Engineer - Python, AI Agents, LangGraph, MCP

Location: Atlanta, GA // Dallas, TX // Seattle, WA (Onsite no remote)

Job Type: 12+ Months Contract

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 platforms. In 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, Google Cloud Platform, Azure).

Knowledge of vector databases, data pipelines, and scalable distributed systems.

Excellent problem-solving abilities, attention to detail, and communication skills.