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AI System Builder
2 weeks ago
We are seeking a skilled professional to build advanced LLM-driven agentic systems.
The ideal candidate will have experience in designing and implementing Model Context Protocol (MCP) patterns to coordinate LLMs with APIs and microservices, as well as maintaining clean, scalable code and contributing to production-ready pipelines.
About the RoleTo be successful in this role, you will need:
- Strong Python programming background for building AI workflows and APIs.
- Experience with agentic AI frameworks like LangChain or AutoGen.
- Able to work independently and collaborate effectively in remote environments.
The key responsibilities of this position include designing and building agentic systems with memory, multi-step planning, and tool invocation capabilities. Familiarity with containerization (Docker), REST APIs, and version control systems (Git) is also required.
Key Responsibilities:- Design and build agentic systems with memory, multi-step planning, and tool invocation capabilities.
- Implement MCP patterns to coordinate LLMs with APIs and microservices.
- Maintain clean, scalable code and contribute to production-ready pipelines.
Success in this role requires a strong understanding of LLM prompting, tool chaining, and agent planning frameworks. In addition to technical skills, excellent communication and collaboration abilities are essential.
This position involves working on cutting-edge technologies and collaborating with cross-functional teams to drive innovation and growth. If you have a passion for AI development and a desire to push boundaries, we encourage you to apply.
