LLM/AI Agent Backend Engineer

ROle: Backend/Agent Engineer Python AI Agents LangGraph MCP
Location 1st Atlanta 2nd Dallas 3rd Seattle (Onsite no remote)

Interview Process:

TechM 1^st Round Video interview with TechM

TechM 2^nd Round In-Person interview with TechM

Final Client Round In person interview with client

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.