Remote Agentic AI Research Engineer (Post-Training)

Alignerr Corp.; La Pampa; A distancia; ARS 181.747.000 - 272.620.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Remote worldwide

Descripción de la vacante

Tether is seeking an AI Research Engineer (Agentic Post-training) to join the AI model team. You will drive post-training methodologies focused on agentic behaviors and tool use, refining pre-trained models to reason, plan, and autonomously invoke external tools on edge devices.

You will work on a spectrum from lightweight agents to complex multimodal architectures (text, images, audio), optimized for tool-augmented decision making, with distributed training and robust evaluation pipelines.

Formación

• Degree in Computer Science, Machine Learning, or a related field; advanced degree (MS/PhD) preferred.
• Experience with multimodal post-training workflows and data pipelines, particularly for agentic systems and tool use.
• Hands-on experience applying post-training at scale using distributed training frameworks (e.g., multi-node GPU environments).
• Demonstrated experience improving model capabilities in areas such as reasoning, tool use, and multi-agent coordination that achieve SOTA results.

Responsabilidades

• Conduct end-to-end research and engineering initiatives to advance post-training of agentic and tool-use models to achieve SOTA results.
• Drive broad, cross-cutting model improvements, including factuality, instruction adherence, tool/function use, multi-agent coordination, and reasoning calibration.
• Design and enhance large-scale post-training systems, including data pipelines, training workflows, evaluation frameworks, and benchmark infrastructure.
• Develop rigorous evaluation suites and diagnostic tools to assess model readiness for deployment.
• Strengthen feedback loops from real-world product usage, incorporating both explicit and implicit user signals into post-training.
• Collaborate with tooling, product, and training teams to improve the usefulness, reliability, and agentic capabilities of frontier models.
• Closely liaise with research, engineering and cross-functional teams to determine which integrations are production-ready for inclusion in major model releases.

Conocimientos

LLM architectures

Agentic post-training

Tool use / function calling

Reinforcement learning

Research & engineering

Educación

MS/PhD preferred

CS/ML background

Herramientas

Distributed training (multi-node GPU)

GitHub

Hugging Face

Descripción del empleo

Tether is seeking an AI Research Engineer (Agentic Post-training) to join the AI model team. You will drive post-training methodologies focused on agentic behaviors and tool use, refining pre-trained models to reason, plan, and autonomously invoke external tools on edge devices.

You will work on a spectrum from lightweight agents to complex multimodal architectures (text, images, audio), optimized for tool-augmented decision making, with distributed training and robust evaluation pipelines.