Applied AI Engineer, AI for Mistral

Mistral
Paris
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningSkills: ["Ownership","Delivery","Communication","Clean code","Team collaboration"]

Design and deliver production-grade, AI-native full-stack systems for internal Mistral departments. Translate ambiguous business needs into scoped use-case backlogs, then build and ship end-to-end apps and AI workflows using Python/FastAPI and React. Encode business rules and ROI metrics into observable data assets, lead scalable secure architecture, dogfood Mistral products, and turn learnings into roadmap feedback—while converting one-offs into reusable building blocks.

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FursaFursa
Mistral
Mistral
2 hours ago

Applied AI Engineer, AI for Mistral

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Source: Company careers pageValidated by: Fursa AI
Last checked: 1 hour agoStatus: Live

Job Summary

Design and deliver production-grade, AI-native full-stack systems for internal Mistral departments. Translate ambiguous business needs into scoped use-case backlogs, then build and ship end-to-end apps and AI workflows using Python/FastAPI and React. Encode business rules and ROI metrics into observable data assets, lead scalable secure architecture, dogfood Mistral products, and turn learnings into roadmap feedback—while converting one-offs into reusable building blocks.
Location: Paris
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Run discovery with department heads and users to map workflows and turn needs into a prioritized use-case backlog.
  • •Deliver end-to-end production systems by designing and shipping full-stack apps and AI systems from scoping through deployment and adoption.
  • •Encode business rules, KPIs, and ROI metrics into durable datalake assets and app logic for trustworthy, observable operations.
  • •Dogfood Mistral products internally and translate learnings into credible feedback that shapes the roadmap.
  • •Own and maintain scalable, secure, observable architecture with a high bar on clean code and reusable building blocks.

Pay and Benefits

Perks:Health InsuranceParental LeaveRetirementRelocationWellness StipendMeal AllowanceCommuter Benefits

Key Requirements

  • •At least 3 years building and deploying production AI software.
  • •Strong full-stack engineering skills with Python/TypeScript, scalable backends (FastAPI/Node), and enough frontend (React/Vue) to ship a usable app.
  • •Hands-on experience with modern GenAI use cases such as RAG, agents, workflows, orchestration, and evaluation.
  • •Strong ownership and a bias for delivery in high-velocity environments.
  • •Fluent English communication to explain technical ideas across different audiences.
Experience:GenAIProduction softwareFull-stack
Skills:OwnershipDeliveryCommunicationClean codeTeam collaboration
Languages:English
Tech Stack:PythonFastAPITypeScriptNodeReactVueRAGAgentsWorkflowsOrchestrationEvaluationSlackLinearDatalake

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