Role overview
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.
What we're looking for
- 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.
Tags & focus areas
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