
Advanced LLM Systems Developer
7 days ago
The ideal candidate for this role will be responsible for designing and building advanced LLM-driven systems with capabilities in memory, multi-step planning, and tool invocation.
Key Responsibilities:
- Implement Model Context Protocol (MCP) patterns to integrate LLMs with APIs, scrapers, and microservices.
- Collaborate with cross-functional teams to translate problem statements into intelligent automation flows.
- Maintain clean, scalable code and contribute to production-ready pipelines with Docker, FastAPI, and Git.
- Stay updated with the latest innovations in LLM reasoning, agent architectures, and open-source tools.
Requirements:
- Bachelor's or master's in computer science, Artificial Intelligence, or a 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 (e.g., ReAct, Tree of Thought).
- Familiar with containerization (Docker), REST APIs, and version control systems (Git).
- Good written and verbal communication skills.
Preferred Qualifications:
- Experience with agentic AI frameworks like LangChain, LlamaIndex, or AutoGen.
- Ability to work independently and collaborate effectively in remote and fast-paced environments.
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