Generative AI Engineer

Vor 6 Tagen


Geneva, Schweiz Umanova SA Vollzeit

We're seeking a hands-on Generative AI Engineer with a background in Software, Data, or Machine Learning Engineering to join one of our clients in Geneva.You'll design, build, and deploy generative-AI-driven solutions focused on real-world applications (i.e., no research-only roles). You'll work closely with engineering teams to implement practical AI capabilities using LLMs and RAG setups.Key Requirements:* Design, implement and maintain GenAI applications using frameworks such as RAG pipelines, agentic workflows, prompt engineering, MCP, and other emerging AI patterns.* Partner with engineers and business users to incorporate GenAI applications into new or existing business workflows.* Apply software engineering best practices - including code quality standards, testing, CI/CD, version control, and observability - to ensure scalable, secure, and maintainable AI solutions.* Build production-grade APIs, microservices, and automation components that interface with GenAI systems and enterprise data platforms.* Collaborate with architecture, data engineering, and security teams to ensure AI applications align with enterprise standards and integrate reliably with existing systems.Qualifications:* Degree in a field related to computer science or data science.* Proven experience in building GenAI applications, including RAG pipelines, LLM integrations, and agent-based systems.* Solid programming skills with Python, with experience writing maintainable, testable, and production-ready code.* Strong understanding of LLM integration, vector databases, RAG, and MCP, with hands-on experience deploying AI models in production environments.* Working knowledge of software engineering fundamentals, such as APIs (REST/GraphQL), microservices, object-oriented design, version control (Git), and automated testing.* Experience with modern data platforms (e.g., Snowflake) and integrating structured/unstructured data sources into AI workflows.* Experience with cloud platforms (e.g., AWS, Azure, GCP), including containerization (Docker), serverless patterns, and infrastructure-as-code.* Familiarity with DevOps practices (CI/CD pipelines, monitoring, logging) is a plus.



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