Intelligent System Engineer
1 day ago
The ideal candidate will have hands-on exposure to Large Language Models (LLMs) and agentic AI development, with 2-4 years of experience in Artificial Intelligence (AI) or Machine Learning (ML).
Key Responsibilities:- Design and build advanced LLM-driven 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.
- 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.
- Bachelor's or master's degree in Computer Science, AI, 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 (e.g., ReAct, Tree of Thought).
- Familiar with containerization (Docker), REST APIs, and version control systems (Git).
- Good written and verbal communication skills.
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Intelligent Systems Developer
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