Senior AI Research Engineer: Agentic Posttraining (Remote)

Encora10; Municipio de Rincón de los Sauces; Remote; ARS 230,602,000 - 322,843,000; Full time

Job summary

Tether seeks an AI Research Engineer (Agentic Posttraining) for 100% remote worldwide work. You will push the boundaries of post-training for agentic AI, enabling tools and multi-turn reasoning across edge devices, while collaborating with global teams to deliver state-of-the-art capabilities.

The role requires deep expertise in large language models, multimodal systems, and distributed training, with a track record of publications and open-source contributions.

Qualifications

• Degree in Computer Science or Machine Learning required.
• MS/PhD preferred with strong publication record in AI conferences.
• Experience with multimodal post-training workflows and data pipelines.
• Hands-on experience with distributed training on multi-node GPU environments.
• Proven track record of open-source contributions in agentic systems or tool use.

Responsibilities

• Conduct end-to-end research and engineering to advance post-training of agentic and tool-use models.
• Drive cross-cutting model improvements including factuality, instruction adherence, tool use, and multi-agent coordination.
• Design and enhance large-scale post-training systems, including data pipelines and evaluation frameworks.
• Develop rigorous evaluation suites and diagnostic tools for model readiness.
• Strengthen feedback loops from real-world product usage, incorporating user signals into post-training.
• Collaborate with tooling, product, and training teams to improve agentic capabilities.
• Liaise with research and engineering teams to determine production-readiness for major model releases.

Skills

Agentic AI

Post-training

Tool use

LLM reasoning

Research collaboration

Education

MS/PhD in CS/ML

Tools

Distributed training

GPU clusters

Open source (GitHub/Hugging Face)

Job description

Tether seeks an AI Research Engineer (Agentic Posttraining) for 100% remote worldwide work. You will push the boundaries of post-training for agentic AI, enabling tools and multi-turn reasoning across edge devices, while collaborating with global teams to deliver state-of-the-art capabilities.

The role requires deep expertise in large language models, multimodal systems, and distributed training, with a track record of publications and open-source contributions.