AI Scientist – Agentic Engineering

🔥 28 minutes ago

🇫🇷 France – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧠 AI Research Scientist

👻 Ghost score 10%

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Mistral AI

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2023

🤖 Artificial Intelligence

☁️ SaaS

🏢 Enterprise

Artificial Intelligence • SaaS • Enterprise

Mistral AI is a company that builds frontier large language and generative AI systems, offering platforms, models, and services to help organizations develop, customize, and deploy AI agents and applications. They provide products like Vibe (an AI agent for long-horizon work and coding variants), Studio (tools to build, test, and run AI agents and apps), Forge (training, aligning, and evaluating custom models), and Compute (infrastructure for training and inference). They also offer APIs, models (e. g. , Mistral Medium 3. 5, Mistral Small 4, Mistral OCR 4, Voxtral TTS), enterprise services for model customization and deployment, and industry-specific solutions for finance, public sector, manufacturing, energy & utilities, and transportation. Mistral emphasizes on self-hosted and cloud-hosted deployment options, privacy-focused enterprise deployments, and provides frontier-scale infrastructure and expert services for building tailored AI solutions.

📋 Description

• Design pretraining, SFT, and RL data for engineering tasks across CAD, CAE, and semiconductor/EDA • Define verifiers and evaluation criteria for correctness and quality in engineering tasks • Design and improve agent architectures and harnesses for planning, tool use, error recovery, and long-horizon engineering workflows • Build evaluation benchmarks and diagnostic tooling to identify model failures and trace them to data, reward design, or agent scaffolding gaps • Collaborate with CAE and EDA domain experts and science and solutions teams to identify high-value engineering workflows • Contribute to broader pre- and post-training research and share findings and methodology across the science organization • Build pre- and post-training data enabling Mistral’s LLMs to reason about and execute real engineering tasks • Help shape agent architectures and harnesses for reliable operation inside multi-step engineering workflows

🎯 Requirements

• Fluent English with excellent communication skills, able to explain technical ML and engineering concepts to engineering and non-technical audiences • Deep, hands-on machine learning expertise, particularly LLM development • Demonstrated experience running, debugging, and validating real engineering workflows in at least one of CAD, CAE, semiconductor simulation, or EDA • Clean, readable Python coding skills • Comfortable working in Linux/HPC environments • Self-directed and able to make progress without detailed roadmaps • Low-ego, collaborative, and eager to learn at the intersection of engineering and ML • Experience building or fine-tuning agentic systems is advantageous • Experience with reward modeling, RLHF/RLAIF/RLVR, or preference-based training is advantageous • Industrial or academic experience with CAE or EDA tools is advantageous • Experience contributing to a large open-source or industry codebase is advantageous • Publications in engineering and ML venues are advantageous

🏖️ Benefits

• Healthcare coverage • Parental leave • Retirement plans • Relocation support • Wellness programs • Meal allowances • Transportation allowances • Other location-specific perks

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