Remote AI Research Engineer: Agentic Posttraining

Agileengine, Llc.; La Pampa; A distancia; ARS 216.250.000 - 293.482.000; Jornada completa

Descripción de la vacante

Tether is seeking an AI Research Engineer (Agentic Posttraining) for a fully remote worldwide role. You will advance post-training methods for agentic, tool-augmented models, enabling autonomous reasoning, planning, and external tool invocation across edge devices and diverse modalities.

Join a global team focused on delivering SOTA AI capabilities, improving factuality, instruction adherence, and cross‑functional collaboration to production-ready systems.

Formación

• Degree in Computer Science, Machine Learning, or a related field.
• Advanced degree (MS/PhD) preferred with strong publication record.
• Experience with multimodal post-training workflows and data pipelines.
• Hands-on experience applying post-training at scale using distributed training frameworks (multi-node GPU environments).
• Proven track record of open-source contributions related to agentic systems or tool use.

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.

Descripción del empleo

Tether is seeking an AI Research Engineer (Agentic Posttraining) for a fully remote worldwide role. You will advance post-training methods for agentic, tool-augmented models, enabling autonomous reasoning, planning, and external tool invocation across edge devices and diverse modalities.

Join a global team focused on delivering SOTA AI capabilities, improving factuality, instruction adherence, and cross‑functional collaboration to production-ready systems.