Remote AI Agent Engineer: Tool-Augmented, Multimodal AI

Randstad Argentina; Partido de Quilmes; Remote; ARS 182,877,000 - 274,315,000; Full time

Job summary

Tether seeks an AI Research Engineer to advance post-training for agentic workflows and tool use on diverse platforms and devices. You will design experiments, build data pipelines, and publish results while collaborating with engineering and product teams.

The role emphasizes multimodal data, distributed training, and production-ready post-training, with a strong publication and open-source background.

Qualifications

• PhD or MS in CS/ML or related field; strong publication record.
• Experience with multimodal post-training workflows and data pipelines.
• Hands-on experience with post-training at scale using distributed training frameworks.
• Proven track record of open-source contributions to agentic systems or tool use.
• Publications at leading AI conferences (e.g., NeurIPS, ICML, ICLR, ACL, CVPR, ECCV).

Responsibilities

• 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 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.
• Degree in Computer Science, Machine Learning, or a related field; advanced degree (MS/PhD) preferred with a strong publication record in top-tier AI conferences.
• 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.
• Proven track record of open-source contributions related to agentic systems or tool use (code, datasets, or models) on platforms such as GitHub or Hugging Face.
• Publications at leading AI conferences (e.g., NeurIPS, ICML, ICLR, ACL, CVPR, ECCV).

Skills

Multimodal data

Tool use

Agentic systems

Open-source contributions

Publications

Education

MS/PhD in CS/ML or related

Tools

GitHub

Hugging Face

Job description

Tether seeks an AI Research Engineer to advance post-training for agentic workflows and tool use on diverse platforms and devices. You will design experiments, build data pipelines, and publish results while collaborating with engineering and product teams.

The role emphasizes multimodal data, distributed training, and production-ready post-training, with a strong publication and open-source background.