AI Agentic Post-Training Engineer (Remote)

Alignerr Corp.; Tandil; Remote; ARS 211,951,000 - 348,205,000; Full time

Job summary

Tether is seeking an AI Research Engineer to advance post-training methods for agentic workflows, enabling tool use and autonomous reasoning on edge devices. You will refine pre-trained models to achieve robust, goal-directed behavior and integrate external tools for multi-step tasks.

The role spans multimodal systems and large-scale training, with collaboration across research, engineering, and product teams. Remote worldwide opportunity.

Qualifications

• PhD/MS preferred with strong publication record in top AI conferences.
• Experience with multimodal post-training workflows.
• Hands-on experience applying post-training at scale.
• Open-source contributions related to agentic systems or tool use.

Responsibilities

• Conduct end-to-end research and engineering to advance post-training of agentic and tool-use models to achieve SOTA results.
• Drive broad 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 explicit and implicit user signals into post-training.
• Collaborate with tooling, product, and training teams to improve usefulness and reliability of frontier models.
• Liaise with research, engineering and cross-functional teams to determine production-ready integrations for major model releases.
• Degree in Computer Science, ML, or related field; MS/PhD preferred with strong publication record.

Skills

Large language models

Agentic post-training

Tool use

Reinforcement learning

Distributed training

Multimodal systems

Education

Computer Science or ML degree

MS/PhD preferred

Tools

Distributed training frameworks

Multi-node GPUs

GitHub / Hugging Face contributions

Job description

Tether is seeking an AI Research Engineer to advance post-training methods for agentic workflows, enabling tool use and autonomous reasoning on edge devices. You will refine pre-trained models to achieve robust, goal-directed behavior and integrate external tools for multi-step tasks.

The role spans multimodal systems and large-scale training, with collaboration across research, engineering, and product teams. Remote worldwide opportunity.