Negotiable
Outside
Remote
USA
Summary: The Python Engineer role focuses on developing and supporting AI agents for enterprise automation and workflow orchestration, alongside building and troubleshooting MCP servers for LLM-based applications. The position requires integration of these agents with enterprise systems and monitoring system performance to ensure high availability. This is a remote contract position based in the USA, classified as outside IR35.
Key Responsibilities:
- Develop, maintain, and support AI agents for enterprise automation and workflow orchestration.
- Build, configure, and troubleshoot MCP servers and custom tools for LLM-based applications.
- Integrate agents with enterprise systems using REST APIs, webhooks, and backend services.
- Monitor system performance, logs, and tool interactions to ensure high availability.
Key Skills:
- Strong experience in Python for tool and agent development.
- Hands-on knowledge of MCP framework, tool schema design, and server creation.
- Understanding of LLM agent frameworks (LangChain, Semantic Kernel, LlamaIndex).
- Experience with API integration, JSON schemas, and backend services.
- Familiarity with Docker, basic DevOps, and deployment processes.
- Good troubleshooting skills and ability to work directly with customers onsite.
- Strong communication and problem-solving skills.
Salary (Rate): undetermined
City: undetermined
Country: USA
Working Arrangements: remote
IR35 Status: outside IR35
Seniority Level: undetermined
Industry: IT
Role: Python Engineer GenAI Agents & MCP Servers
Contract
Location: Remote
Job Description:
Key Responsibilities
- Develop, maintain, and support AI agents for enterprise automation and workflow orchestration.
- Build, configure, and troubleshoot MCP servers and custom tools for LLM-based applications.
- Integrate agents with enterprise systems using REST APIs, webhooks, and backend services.
- Monitor system performance, logs, and tool interactions to ensure high availability.
Required Skills
- Strong experience in Python for tool and agent development.
- Hands-on knowledge of MCP framework, tool schema design, and server creation.
- Understanding of LLM agent frameworks (LangChain, Semantic Kernel, LlamaIndex).
- Experience with API integration, JSON schemas, and backend services.
- Familiarity with Docker, basic DevOps, and deployment processes.
- Good troubleshooting skills and ability to work directly with customers onsite.
- Strong communication and problem-solving skills.