AI Scientist - Agentic Engineering

Mistral
Paris, Amsterdam, Munich, London, Berlin
Workplace: HybridFull timeFunction: Research & Scientific (R&D)Skills: ["Communication","Self-directed","Collaborative","Low-ego","Eager to learn"]

Build pre- and post-training data and verifiers that enable Mistral’s LLMs to execute real engineering tasks across CAE (CFD/FEA) and EDA/Semiconductor domains. Define evaluation benchmarks for true task competence, design agent architectures for reliable multi-step workflows, and develop diagnostic tooling to trace failures to data, rewards, or scaffolding gaps. Work closely with CAE/EDA domain experts to target high-value engineering workflows.

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FursaFursa
Mistral
Mistral
2 days ago

AI Scientist - Agentic Engineering

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Job Summary

Build pre- and post-training data and verifiers that enable Mistral’s LLMs to execute real engineering tasks across CAE (CFD/FEA) and EDA/Semiconductor domains. Define evaluation benchmarks for true task competence, design agent architectures for reliable multi-step workflows, and develop diagnostic tooling to trace failures to data, rewards, or scaffolding gaps. Work closely with CAE/EDA domain experts to target high-value engineering workflows.
Location: Paris, Amsterdam, Munich, London, Berlin
Workplace: Hybrid
Employment Type: Full time
Job Function: Research & Scientific (R&D)

Key Responsibilities

  • •Design pretraining, SFT, and RL data for engineering tasks across CAD, CAE, and semiconductor/EDA.
  • •Define verifiers and evaluation criteria to determine correct, high-quality outputs for each engineering task.
  • •Design and improve agent architectures and harnesses for planning, tool-calling, error recovery, and chaining steps across long-horizon workflows.
  • •Build evaluation benchmarks and diagnostic tooling to identify failures on engineering tasks and trace them to gaps in data, reward design, or agent scaffolding.
  • •Collaborate with domain experts across CAE and EDA (and broader teams) to identify high-value engineering workflows to target next.

Pay and Benefits

Perks:Health InsuranceParental LeaveRetirementRelocationWellness StipendMeal AllowanceTravel Allowance

Key Requirements

  • •Fluent English and excellent communication skills to explain technical ML and engineering concepts to technical and non-technical audiences.
  • •Deep, hands-on machine learning expertise, particularly LLM development.
  • •Hands-on experience running, debugging, and validating real engineering workflows in at least one of CAD, CAE, semiconductor simulation, or EDA.
  • •Comfort writing clean, readable Python code and working in Linux/HPC environments.
  • •Self-directed progress without needing detailed roadmaps.
Skills:CommunicationSelf-directedCollaborativeLow-egoEager to learn
Languages:English
Tech Stack:PythonLinuxHPCLLMsLLM developmentCADCAECFDFEAEDASemiconductor simulationAgent architecturesTool useMulti-step planningAgent orchestration frameworksReward modelingRLHFRLAIFRLVRPretraining

Company Brief

Mistral
Develops state-of-the-art large language models and AI systems, offering models and developer tools for natural language understanding, generation, and enterprise AI integrations. Focuses on open research and production-ready model deployments.
Industry: AI & Machine Learning
Company Size: Medium (51 to 250 employees)
Growth: Early Stage Startup
Funding: Seed
Headquarters: Paris, France
Founded: 2023
WebsiteLinkedIn