AI Scientist: Engineering LLMs & Agent Architectures

Mistral AI; Greater London; On-site; GBP 120,000 - 180,000; Full time

Benefits offered by this job

Healthcare coverage

Relocation support

Wellness programs

Meal and transportation allowances

Job summary

Mistral AI is seeking AI Scientists with deep ML expertise to expand agentic tools across engineering lifecycles, including CAE and EDA. You will build pre- and post-training data for Mistral's LLMs to reason about and execute engineering tasks, designing data, verifiers, and agent scaffolding.

Join at the foundation to shape direction and ensure reliability. You will collaborate with domain experts to ground this work in real engineering practice, and contribute to broader research efforts in

Qualifications

• Fluent English with excellent communication skills.
• Deep, hands-on machine learning expertise, particularly LLM development.
• Demonstrated experience running, debugging, and validating real engineering workflows in CAD/CAE/semiconductor/EDA.
• Clean, readable Python code and comfortable in Linux/HPC environments.
• Self-directed, you don't need detailed roadmaps to make progress.
• Low-ego, collaborative, eager to learn at the intersection of engineering and ML.

Responsibilities

• Design pretraining, SFT, and RL data for engineering tasks across CAD, CAE, and semiconductor/EDA.
• Define verifiers and evaluation criteria that capture what 'correct' and 'high-quality' mean for each engineering task.
• Design and improve agent architectures and harnesses: how models plan, call tools, recover from errors, and chain steps across long-horizon workflows.
• Build evaluation benchmarks and diagnostic tooling to identify where models fail and trace gaps in data, reward design, or agent scaffolding.
• Collaborate with domain experts across CAE and EDA or other domains to identify high-value workflows.
• Contribute to Mistral's broader pre and post-training research, sharing findings across the science organization.

Skills

Fluent English

Deep ML expertise

LLM development

Python

Linux / HPC

Self-directed

Collaborative

Job description

Mistral AI is seeking AI Scientists with deep ML expertise to expand agentic tools across engineering lifecycles, including CAE and EDA. You will build pre- and post-training data for Mistral's LLMs to reason about and execute engineering tasks, designing data, verifiers, and agent scaffolding.

Join at the foundation to shape direction and ensure reliability. You will collaborate with domain experts to ground this work in real engineering practice, and contribute to broader research efforts in