Remote Agentic AI Research Engineer — Post-Training

Alignerr Corp.; Tandil; Remote; ARS 185,448,000 - 262,719,000; Full time

Job summary

Tether is seeking an AI Research Engineer to advance post-training methodologies focused on agentic behaviors and tool invocation, refining pre-trained models for goal-directed reasoning and autonomous tool use on edge devices. You will work across streamlined agents to complex multimodal architectures, optimizing for tool-augmented decision making.

The role emphasizes deep expertise in LLMs and post-training with experience in function calling, RL from feedback, and scalable distributed

Qualifications

• Degree in Computer Science, Machine Learning, or related field; MS/PhD preferred.
• Experience with multimodal post-training workflows and data pipelines.
• Hands-on experience applying post-training at scale using distributed training frameworks.
• Publications at leading AI conferences (e.g., NeurIPS, ICML, ICLR).

Responsibilities

• 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 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-readiness for major model releases.

Skills

LLM architectures

Post-training for agentic workflows

Tool use and function calling

Multi-turn reasoning and planning

Agentic systems

Education

MS/PhD in CS/ML or related

Tools

GitHub

Hugging Face

Distributed training (multi-node GPUs)

Job description

Tether is seeking an AI Research Engineer to advance post-training methodologies focused on agentic behaviors and tool invocation, refining pre-trained models for goal-directed reasoning and autonomous tool use on edge devices. You will work across streamlined agents to complex multimodal architectures, optimizing for tool-augmented decision making.

The role emphasizes deep expertise in LLMs and post-training with experience in function calling, RL from feedback, and scalable distributed