Remote AI Research Engineer — Agentic Post-Training

Alignerr Corp.; Santa Fe Capital; A distancia; ARS 181.747.000 - 272.620.000; Jornada completa

Descripción de la vacante

Tether is hiring an AI Research Engineer (Agentic Post-training) to advance post-training for agentic models with tool use, planning, and autonomous tool invocation. You will refine models to reason, plan, and operate on edge devices, spanning multimodal inputs and resource‑constrained environments.

The role emphasizes distributed multi-node GPU training, open‑source collaboration, and publishing results in top AI venues, with a fully remote worldwide setup.

Formación

• Degree in Computer Science, ML, or related field; MS/PhD preferred.
• Experience with multimodal post-training workflows and data pipelines.
• Hands-on experience with distributed multi-node GPU training.
• Proven track record with agentic AI, tool use and SOTA results.
• Open-source contributions to agentic systems or tool use (GitHub/Hugging Face).

Responsabilidades

• Conduct end-to-end research and engineering for post-training of agentic and tool-use models to achieve SOTA results.
• Drive cross-cutting model improvements: factuality, instruction adherence, tool use, multi-agent coordination, reasoning calibration.
• Design and enhance large-scale post-training systems, 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 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 production-ready integrations for 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).

Conocimientos

LLM architectures

Agentic workflows

Tool use

Function calling

Reinforcement learning

Multimodal data

Educación

MS/PhD preferred

CS/ML degree

Herramientas

GitHub

Hugging Face

Descripción del empleo

Tether is hiring an AI Research Engineer (Agentic Post-training) to advance post-training for agentic models with tool use, planning, and autonomous tool invocation. You will refine models to reason, plan, and operate on edge devices, spanning multimodal inputs and resource‑constrained environments.

The role emphasizes distributed multi-node GPU training, open‑source collaboration, and publishing results in top AI venues, with a fully remote worldwide setup.