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Cognitive Systems Engineer
3 weeks ago
Ambitious professionals are sought to join our organization where they will contribute to the development of cutting-edge agentic AI systems.
- 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 ideal candidate will have a strong background in Python programming for building AI workflows, APIs, and integrations, as well as experience with agentic AI frameworks like LangChain, LlamaIndex, or AutoGen. They must be able to work independently and collaborate effectively in remote and fast-paced environments.
- 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 (e.g., ReAct, Tree of Thought).