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# Artificial General Intelligence

- **Company:** Agi
- **Location:** UK (Remote available)
- **Contract:** Permanent contract
- **Skills:** Code Generation, Software Quality, Computer Programming, Linux, Distributed Computing Environment, Python (Programming Language), Machine Learning, Software Engineering, Graphics Processing Unit (GPU), Pytorch, Large Language Models, Deep Learning, Data Pipelines, Data Generation
- **Published:** September 5, 2026
- **Apply:** https://startup.jobs/member-of-engineering-post-training-poolside-6242263

## About the Role

* Experience with Large Language Models (LLM)
 + Deep knowledge of Transformers
 + Strong deep learning fundamentals
 + Good taste in data
 + Post-training experience with LLMs
 + Extensively used and probed LLMs, familiarity of their capabilities and limitations
 + Knowledge of distributed training
 * Strong machine learning and engineering background
 * Research experience
 + Experience in proposing and evaluating novel research ideas
 + Familiar with, or contributed to the state of the art in multiple of the following topics: Fine-tuning and alignment of LLMs, synthetic data generation, continual learning, RLVR, code generation
 + Is comfortable in a rapidly iterating environment
 + Is reasonably opinionated
 * Programming experience
 + Linux
 + Strong algorithmic skills
 + Python with PyTorch or Jax
 + Use modern tools, including latest code agents and are always looking to improve
 + Strong critical thinking and ability to question code quality policies when applicable
 + Prior experience in non-ML programming, especially not in Python - is a nice to have

## Description

You would be working as part of our Applied Research team, focused on turning pre-trained LLMs into well-aligned and highly capable AI systems for coding and software development. This is a hands-on role where you'll work across a variety of efforts, including: Building data pipelines and environments for agentic use cases, researching and implementing post-training algorithms, designing experiments and testing hypothesis, and more. You will have access to thousands of GPUs in this team., * Research and experiment on ways to specialize foundational models to agentic use cases

 * Build and maintain data and training pipelines
 * Keep up with latest research, and be familiar with state of the art in LLMs, alignment, synthetic data generation, code generation
 * Design, analyze, and iterate on training/fine-tuning/data generation experiments
 * Write high-quality, pragmatic code
 * Work as part of a team: plan future steps, discuss, and communicate clearly with your peers


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