Remote Agentic AI Research Engineer — Post-Training

Alignerr Corp.; La Pampa; A distancia; ARS 184.482.000 - 276.723.000; Jornada completa

Descripción de la vacante

Tether is seeking an AI Research Engineer (Agentic Post-training) to drive innovation in post-training methodologies, focusing on agentic behaviors and tool use. Refine pre-trained models to reason, plan, and autonomously invoke external tools for real-world, multi-step tasks on edge devices.

You will work on a range of systems from lightweight agents to multimodal architectures, optimizing for tool-augmented decision making.

Formación

• Degree in Computer Science, Machine Learning or related field.
• MS/PhD preferred with strong publication record.
• Experience with multimodal post-training workflows.
• Hands-on experience with distributed training frameworks.
• Proven track record in improving model capabilities (reasoning, tool use, multi-agent coordination).
• Open-source contributions related to agentic systems or tool use.
• Publications at leading AI conferences (e.g., NeurIPS, ICML, ICLR).

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 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 workflows

Tool use

Reasoning

Multimodal systems

Open-source contributions

Educación

Degree in Computer Science or ML

MS/PhD preferred

Herramientas

GitHub

Hugging Face

Descripción del empleo

Tether is seeking an AI Research Engineer (Agentic Post-training) to drive innovation in post-training methodologies, focusing on agentic behaviors and tool use. Refine pre-trained models to reason, plan, and autonomously invoke external tools for real-world, multi-step tasks on edge devices.

You will work on a range of systems from lightweight agents to multimodal architectures, optimizing for tool-augmented decision making.