LLM/AI Agent Backend Engineer
ace stackSeattle (WA)
LLM/AI Agent Backend Engineer
Posted 11 days ago
ace stackSeattle (WA)
SENIORITY
Senior
About the role
Backend/Agent Engineer – Python, AI Agents, LangGraph, MCPWe 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.
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