Applied AI Engineer, Prototyping

Mistral
Paris
Workplace: OnsiteFull timeFunction: Data Science & Machine LearningExperience: 2+ yearsSkills: ["Collaboration","Stakeholder communication","Problem-solving","Technical planning","Rapid execution"]

Build end-to-end, production-grade AI solutions with the Proto team, translating ambiguous business needs into scalable systems. Partner with customers to clarify requirements, architect robust architectures, and ship ready-to-use applications for clients and internal teams. Lead technical decisions, diagnose complex problems across industries, and evaluate new capabilities to continuously improve products through rapid prototyping cycles.

Loading

Loading job details...

Preparing the role view and application actions.

FursaFursa
Mistral
Mistral
2 months ago

Applied AI Engineer, Prototyping

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 8 hours agoStatus: Live
Reposted: similar role first listed 1 month ago

Job Summary

Build end-to-end, production-grade AI solutions with the Proto team, translating ambiguous business needs into scalable systems. Partner with customers to clarify requirements, architect robust architectures, and ship ready-to-use applications for clients and internal teams. Lead technical decisions, diagnose complex problems across industries, and evaluate new capabilities to continuously improve products through rapid prototyping cycles.
Location: Paris
Workplace: Onsite
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Deliver end-to-end full-stack AI solutions from project scoping through deployment.
  • •Partner with customers to clarify needs, define requirements, and architect robust systems.
  • •Ship ready-to-use applications for clients and internal teams.
  • •Lead architecture and technical choices to ensure solutions are scalable and reliable.
  • •Diagnose and solve complex technical problems and integrate new technology capabilities into existing systems.

Pay and Benefits

Perks:Health InsuranceParental LeaveRetirementRelocation SupportWellness StipendMeal AllowanceCommuter Benefits

Key Requirements

  • •At least 2 years building and deploying production AI products or systems.
  • •Experience with modern AI/ML stacks, including LLMs, RAG, and agentic systems.
  • •Strong Python skills, including scalable backend frameworks such as FastAPI.
  • •Familiarity with frontend development, ideally using React or Vue.
  • •Ability to translate business needs into technical plans and explain complex technical ideas to diverse stakeholders.
Experience:2+ yearsAI/MLLLMsRAGAgentic systems
Skills:CollaborationStakeholder communicationProblem-solvingTechnical planningRapid execution
Tech Stack:PythonFastAPIReactVueLLMsRAGAgentic systemsOpen-source

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