Remote Agentic AI Post-Training Engineer

Alignerr Corp.; Tandil; Remote; ARS 185,750,000 - 294,104,000; Full time

Job summary

Tether is hiring an AI Research Engineer to advance post-training methods for agentic models that can reason, plan, and autonomously call tools on edge devices. You will explore multimodal data pipelines and scalable training architectures, collaborating with global teams to push SOTA capabilities.

Join a remote, worldwide team focused on cutting‑edge AI research, publication quality, and real-world impact in fintech and decentralized systems. Strong emphasis on experimentation and tooling.

Qualifications

• Degree in Computer Science, ML, or related field; MS/PhD preferred.
• Experience with multimodal post-training workflows.
• Hands-on experience with distributed multi-node GPU training.
• Proven track record of agentic AI, tool use, and RL feedback.
• Publications at AI conferences desirable.

Responsibilities

• Conduct end-to-end research and engineering for post-training of agentic and tool-use models.
• Improve factuality, instruction adherence, tool usage, multi-agent coordination.
• Design post-training systems, data pipelines, training workflows, evaluation frameworks.
• Develop evaluation suites and diagnostic tools for deployment readiness.
• Collaborate with product, training, and tooling teams to ensure production readiness.
• Liaise with research and engineering teams to identify production-ready integrations.
• Publish results at leading AI conferences.

Skills

Agentic AI

Tool use

Reinforcement learning

Multimodal

Distributed training

Education

Computer Science / ML degree

Tools

GitHub

Hugging Face

Docker

Job description

Tether is hiring an AI Research Engineer to advance post-training methods for agentic models that can reason, plan, and autonomously call tools on edge devices. You will explore multimodal data pipelines and scalable training architectures, collaborating with global teams to push SOTA capabilities.

Join a remote, worldwide team focused on cutting‑edge AI research, publication quality, and real-world impact in fintech and decentralized systems. Strong emphasis on experimentation and tooling.