
AI Innovation Leader
5 days ago
Ambitious and innovative professional to lead the development of advanced Large Language Model (LLM) agentic systems with memory, multi-step planning, and tool invocation capabilities.
- Design and implement LLM-based systems that can learn from data and make decisions independently.
- Implement Model Context Protocol (MCP) patterns to integrate LLMs with APIs, scrapers, and microservices.
- Collaborate with cross-functional teams to transform problem statements into intelligent automation workflows.
- Maintain high-quality, scalable code and contribute to production-ready pipelines using Docker, FastAPI, and Git.
Required Expertise:
- Bachelor's or master's degree 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.
- In-depth understanding of LLM prompting, tool chaining, memory management, and agent planning frameworks (e.g., ReAct, Tree of Thought).
- Familiarity with containerization (Docker), REST APIs, and version control systems (Git).
- Strong written and verbal communication skills.
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