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Jobs/AI Engineer Role/Mistral AI - Applied AI Engineer, Fullstack Software Engineer

Mistral AI - Applied AI Engineer, Fullstack Software Engineer

Mistral AIParis / Marseille / London / Luxembourg / Lausanne / Amsterdam+ Equity2mo ago
In OfficeMidEMEASoftwareCloud ComputingArtificial IntelligenceAI EngineerSoftware EngineerAWSFront-endBack-endFull Stack

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Requirements

• Skills needed: AI Engineer skills and Fullstack Software Engineering experience in EMEA region • Years of experience: Not specified explicitly; assume no minimum requirement unless stated otherwise. Response: No years of experience required as it is not mentioned, but proficiency with relevant tools may be necessary for the application review process (as per job posting context). • Education: None specifically stated regarding education requirements in the provided text snippet. However, given that this role involves AI and software engineering, a bachelor'ths degree or higher is typically required; if not mentioned otherwise by company policy, assume it as an industry standard unless specified (not explicitly included due to lack of information). • Certifications: None stated in the provided text snippet. However, certifications such as AWS Certified Solutions Architect could be beneficial for this role given its technical nature and potential use of cloud services; if not mentioned otherwise by company policy or job description, assume it is a plus but not mandatory (not explicitly included due to lack of information). • Must-haves: Proficiency with AI tools used in the hiring process.

Responsibilities

• Collaborate closely with researchers, AI engineers, and product engineers on complex customer projects. • Integrate cutting-edge AI models into clients’ software products. • Design, develop, and maintain scalable full-stack applications for seamless integration between front-end and back-end systems. • Develop complex use cases with customers to ensure optimal production integration of interfaces. • Continuously improve product and model capabilities based on customer feedback in collaboration with the product and science team.

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