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

Backend/Agent Engineer

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.