AGENTC Developer

AGENTC Developer

Position Overview

Seeking a highly skilled AGENTC Developer to support advanced research efforts in AI agent systems and next-generation conversational intelligence. The ideal candidate will have deep technical expertise

in large-language-model (LLM) development, context and memory architectures, and advanced reasoning frameworks. This role will focus on designing, implementing, and optimizing AGENTC capabilities for internal R&D applications.

Key Responsibilities

• Develop and refine AGENTC-based systems leveraging GPT-style architectures and advanced LLM techniques.
• Implement and optimize short-term memory management modules within conversational agents.
• Design, test, and improve chain-of-reasoning and multi-step inference pipelines.
• Build and manage context-handling frameworks to maintain robust agent performance across dynamic conversational environments.
• Develop tools and pipelines for text-to-structured-database conversion, enabling automated knowledge capture and retrieval.
• Collaborate with R&D engineers and researchers to integrate agent technologies into broader GM innovation initiatives.
• Document architectures, algorithms, and experimental results for research and internal decision-making.

Required Skills & Experience

Education