Connvertex® Technologies
Backend/Agent Engineer – Python, AI Agents, LangGraph
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Backend/Agent Engineer focused on Python, AI agents, and LangGraph, with a hybrid location in Seattle, WA or Alpharetta, GA. Requires strong Python backend skills, AI orchestration experience, and familiarity with Docker and cloud platforms.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
October 25, 2025
🕒 - Duration
Unknown
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🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Seattle, WA
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🧠 - Skills detailed
#Monitoring #Knowledge Graph #Flask #Scala #Compliance #Azure #Django #GCP (Google Cloud Platform) #Cloud #AI (Artificial Intelligence) #Python #Database Management #AWS (Amazon Web Services) #ML (Machine Learning) #FastAPI #Docker #Logging #API (Application Programming Interface)
Role description
Role: Backend/Agent Engineer – Python, AI Agents, LangGraph
Job Location: Seattle, WA or Alpharetta, GA (Hybrid)
Job Description:
We are seeking an experienced Backend/Agent Engineer to design, develop, and maintain robust backend systems for AI-driven agent platforms. The role centers on building scalable services and integrating AI agents with frameworks like LangGraph and MCP.
Roles and Responsibilities:
· Architect and maintain backend services and APIs (Python: FastAPI, Flask, Django).
· Develop and orchestrate AI agents, leveraging MCP for model/agent coordination.
· Design multi-agent workflows and orchestration using LangGraph and MCP.
· Integrate data sources, APIs, vector DBs, and ML models.
· Optimize performance, reliability, and implement monitoring/logging.
· Collaborate cross-functionally with product, ML, and engineering teams.
· Ensure compliance and best practices in backend operations.
Required Skills:
· Strong backend Python (FastAPI, Flask, Django) and API/database management.
· Proven experience orchestrating AI agents/LLMs in production.
· Hands-on MCP expertise for coordinating models/agents.
· Familiar with LangGraph for workflow orchestration.
· Containerization (Docker), CI/CD, and cloud (AWS/GCP/Azure).
· Vector DB and scalable system experience.
· Strong problem-solving and communication skills.
Preferred:
· Background in backend AI/data-intensive system architectures.
· Experience with RAG pipelines, knowledge graphs, agent coordination.
· Open-source contributions in agent/LLM frameworks.
Role: Backend/Agent Engineer – Python, AI Agents, LangGraph
Job Location: Seattle, WA or Alpharetta, GA (Hybrid)
Job Description:
We are seeking an experienced Backend/Agent Engineer to design, develop, and maintain robust backend systems for AI-driven agent platforms. The role centers on building scalable services and integrating AI agents with frameworks like LangGraph and MCP.
Roles and Responsibilities:
· Architect and maintain backend services and APIs (Python: FastAPI, Flask, Django).
· Develop and orchestrate AI agents, leveraging MCP for model/agent coordination.
· Design multi-agent workflows and orchestration using LangGraph and MCP.
· Integrate data sources, APIs, vector DBs, and ML models.
· Optimize performance, reliability, and implement monitoring/logging.
· Collaborate cross-functionally with product, ML, and engineering teams.
· Ensure compliance and best practices in backend operations.
Required Skills:
· Strong backend Python (FastAPI, Flask, Django) and API/database management.
· Proven experience orchestrating AI agents/LLMs in production.
· Hands-on MCP expertise for coordinating models/agents.
· Familiar with LangGraph for workflow orchestration.
· Containerization (Docker), CI/CD, and cloud (AWS/GCP/Azure).
· Vector DB and scalable system experience.
· Strong problem-solving and communication skills.
Preferred:
· Background in backend AI/data-intensive system architectures.
· Experience with RAG pipelines, knowledge graphs, agent coordination.
· Open-source contributions in agent/LLM frameworks.
