Remote AI Agentic Engineer — Post-Training & Tools

Alignerr Corp.; La Pampa; A distancia; ARS 215.229.000 - 292.096.000; Jornada completa

Descripción de la vacante

Tether is seeking an AI Research Engineer (Agentic Post-training) to push the boundaries of post-training for agentic workflows and tool use. You will refine models to reason, plan, and autonomously invoke external tools on edge devices, across a spectrum from lightweight agents to multimodal architectures.

We value deep expertise in LLMs, data pipelines, and RL from feedback, with opportunities to publish and collaborate globally. Join a fast-moving, remote-first team shaping fintech AI futures.

Formación

• Degree in computer science or machine learning and strong publication track record.
• Expertise in large language models, post-training for agentic workflows, and tool use.
• Experience with multimodal data and distributed training environments.
• Proven ability to curate datasets and evaluate model capability for production use.

Responsabilidades

• Advance post-training of agentic and tool-use models to achieve SOTA results.
• Improve factuality, instruction adherence, tool invocation, and multi-agent coordination.
• Design data pipelines, training workflows, evaluation suites, and benchmarks.
• Develop diagnostics for model readiness and integrate feedback from real-world use.
• Collaborate with tooling, product, and training teams to productionize integrations.

Conocimientos

LLM architectures

Agentic workflows

Tool use

Reinforcement learning

Multi-modal data

Educación

CS/ML degree

MS/PhD preferred

Herramientas

GitHub

Hugging Face

PyTorch/TensorFlow

Descripción del empleo

Tether is seeking an AI Research Engineer (Agentic Post-training) to push the boundaries of post-training for agentic workflows and tool use. You will refine models to reason, plan, and autonomously invoke external tools on edge devices, across a spectrum from lightweight agents to multimodal architectures.

We value deep expertise in LLMs, data pipelines, and RL from feedback, with opportunities to publish and collaborate globally. Join a fast-moving, remote-first team shaping fintech AI futures.