
Advanced LLM Driven System Architect
1 day ago
A highly skilled artificial intelligence engineer with 2-4 years of experience in designing and building advanced LLM-driven agentic systems is required.
The ideal candidate will have a strong Python programming background for building AI workflows, APIs, and integrations. Experience with agentic AI frameworks like LangChain, LlamaIndex, or AutoGen is also necessary.
- Design and build advanced LLM-driven agentic systems with memory, multi-step planning, and tool invocation capabilities.
- Implement Model Context Protocol (MCP) patterns to coordinate LLMs with APIs, scrapers, and microservices.
- Collaborate with cross-functional teams to translate problem statements into intelligent automation flows.
The successful candidate will have:
- Bachelor's or master's in computer science, Artificial Intelligence, or related field.
- 3+ years of experience in AI/ML or backend engineering roles, with recent focus on LLM-based systems.
- Strong understanding of LLM prompting, tool chaining, memory management, and agent planning frameworks.
- Familiar with containerization, REST APIs, and version control systems.
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