Tech Lead - Backend/Agent Engineer - Python, AI Agents, LangGraph, MCP

Backend/Agent Engineer - Python, AI Agents, LangGraph, MCP Location - 1st Atlanta, 2nd Dallas, 3rd Seattle (Onsite no remote) Rate/Salary - DOE 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, 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. Thanks Regards *** is an Equal Employment Opportunity employer. We promote and support a diverse workforce at all levels of the company. All qualified applicants will receive consideration for employment without regard to race, religion, color, sex, age, national origin or disability. All applicants will be evaluated solely on the basis of their ability, competence, and performance of the essential functions of their positions with or without reasonable accommodations. Reasonable accommodations also are available in the hiring process for applicants with disabilities. Candidates can request a reasonable accommodation by contacting the company ADA Coordinator at