Remote AI Research Engineer – Agentic Posttraining

Clark Construction Group, Llc; Quilmes; A distancia; ARS 139.086.000 - 231.811.000; Jornada completa

Descripción de la vacante

Tether is seeking an AI Research Engineer focused on agentic post-training methodologies. You will advance post-training strategies, emphasizing agentic behavior and intelligent tool use, to enable autonomous reasoning and action on edge devices.

Join a global, remote-first team driving innovation in digital finance and data-driven AI systems. The role covers a wide range of systems from lightweight agents on limited hardware to sophisticated multi-modal architectures, contributing to

Formación

• As a member of the AI model team, you will drive innovation in post-training methodologies, with a special focus on agentic behaviors and tool use.
• Your work will refine pre-trained models so that they not only deliver enhanced intelligence and domain specific capabilities, but also learn to reason, plan, and autonomously invoke external tools to solve real world, multi step tasks and applications on edge devices (i.e., smartphones).
• You will work on a wide spectrum of systems, ranging from streamlined, resource efficient agents that run on limited hardware to complex multi modal architectures

Responsabilidades

• Drive research on post-training techniques and agentic behaviors.
• Develop and refine models to enable autonomous tool invocation and planning.
• Work across scalable, resource-constrained to multi-modal systems.

Conocimientos

Agentic posttraining

AI research

Edge devices

Multimodal systems

Herramientas

Tool use

Descripción del empleo

Tether is seeking an AI Research Engineer focused on agentic post-training methodologies. You will advance post-training strategies, emphasizing agentic behavior and intelligent tool use, to enable autonomous reasoning and action on edge devices.

Join a global, remote-first team driving innovation in digital finance and data-driven AI systems. The role covers a wide range of systems from lightweight agents on limited hardware to sophisticated multi-modal architectures, contributing to