AI Agent Engineer

Dallas - USA

Monthly Salary: Not Disclosed

Posted on: 30+ days ago

Vacancies: 1 Vacancy

Job Summary

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.

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 mu...