AI Software Engineer

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Senior AI Software Engineer

Generative AI, machine learning, and cloud-native architectures

• Collaboration & Innovation: Partner with product managers, designers, and engineers to deliver best-in-class AI-enabled features.
• AI Integration: Implement and integrate AI technologies such as Generative AI, Machine Learning models, and NLP to enhance platform capabilities and user experience.
• Platform Development: Design, develop, and maintain scalable AI platform components compatible with microservices, APIs, and enterprise systems.
• Problem Solving: Rapidly troubleshoot and resolve issues related to AI model performance, integrations, and data pipelines.
• Continuous Improvement: Participate in code reviews and contribute to improving AI development standards, scalability, and maintainability.
• Technology Awareness: Stay current with industry trends and emerging technologies in AI, ML, cloud services, and DevOps.
  

Required Skills & Experience

• Minimum 4+ years of experience as a Software Engineer
• Proven experience in AI product development
• Strong programming skills in Python (Java, Scala, or C# are a plus)
• Experience with microservices architecture (GraphQL is a plus)
• Knowledge of data formats and structures (JSON Schema, Avro)
• Hands-on experience with DevOps tools: Jenkins, Docker
• Exposure to MLOps / LLMOps / AIOps and model deployment
• Strong understanding of AI/ML/GenAI concepts, including:
• AI workflows
• Model training, evaluation, and scoring
• Prompt engineering, guardrails, and RAG
• Experience with cloud platforms: Azure, AWS, or GCP
• Familiarity with Agile/SCRUM methodologies
• Experience using collaboration tools like JIRA, Trello
  

Preferred / Nice To Have

• Distributed systems and architectures (Akka concepts)
• NLP project experience
• Knowledge of software design patterns and best practices
• Cloud certifications
• French language proficiency (English is mandatory)