
AI System Architect
8 hours ago
Advanced LLM System Developer Position
- This role involves designing and implementing cutting-edge agentic AI systems, leveraging Large Language Models (LLMs) with memory, multi-step planning, and tool invocation capabilities.
- It requires strong Python programming skills for building AI workflows, APIs, and integrations, as well as experience with agentic AI frameworks like LangChain, LlamaIndex, or AutoGen.
- The ideal candidate should have hands-on exposure to LLMs and a solid understanding of Model Context Protocol (MCP) patterns to coordinate LLMs with APIs, scrapers, and microservices.
- This position demands collaboration with cross-functional teams to translate problem statements into intelligent automation flows, maintaining clean, scalable code and contributing to production-ready pipelines with Docker, FastAPI, and Git.
- Staying updated with the latest innovations in LLM reasoning, agent architectures, and open-source tools is crucial for success in this role.
Key Skills and Qualifications:
- Bachelor's or master's degree in computer science, Artificial Intelligence, or a related field.
- At least 3 years of experience in AI/ML or backend engineering roles, with recent focus on LLM-based systems.
- A strong understanding of LLM prompting, tool chaining, memory management, and agent planning frameworks.
- Familiarity with containerization, REST APIs, and version control systems.
- Excellent written and verbal communication skills.
What We Offer:
- An opportunity to work with cutting-edge technology and contribute to the development of innovative AI solutions.
- A collaborative and dynamic work environment that fosters growth and learning.
- The chance to develop your skills and expertise in AI, machine learning, and software development.
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