Remote Senior AI & Agentic Engineer — Frontier Research

Overseas

Neuquén

Remote

ARS 228,047,000 - 319,265,000

Full time

10 days ago

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Job summary

Tether is seeking an AI Research Engineer (Agentic Posttraining) to advance post-training methods for agentic systems and tool use, with 100% remote worldwide eligibility. You will refine pre-trained models to reason, plan, and autonomously invoke external tools, build scalable data pipelines, and drive SOTA results through hands-on experimentation.

The role emphasizes cross‑functional collaboration with research, engineering and product teams, publication track record, and experience with

Qualifications

  • Degree in Computer Science or ML; MS/PhD preferred.
  • Strong publications in AI conferences.
  • Experience with multimodal post-training workflows.
  • Hands-on with distributed multi-node GPU training.
  • Open-source contributions to agentic systems.

Responsibilities

  • Conduct end-to-end research and engineering for post-training of agentic and tool-use models to achieve SOTA results.
  • Improve factuality, instruction adherence, tool usage, and multi-agent coordination.
  • Design scalable post-training systems including data pipelines and evaluation frameworks.
  • Develop diagnostic tools to assess readiness for deployment.
  • Collaborate with tooling, product, and training teams to enhance frontier models.
  • Liaise with research and engineering teams to determine production-ready integrations.

Skills

LLM architectures
Agentic workflows
Tool use & function calling
Multimodal post-training
Distributed training

Education

Computer Science or ML degree
MS/PhD preferred

Job description

Tether is seeking an AI Research Engineer (Agentic Posttraining) to advance post-training methods for agentic systems and tool use, with 100% remote worldwide eligibility. You will refine pre-trained models to reason, plan, and autonomously invoke external tools, build scalable data pipelines, and drive SOTA results through hands-on experimentation.

The role emphasizes cross‑functional collaboration with research, engineering and product teams, publication track record, and experience with

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