An IT engineering and digital services company founded in 2004, Qim info operates in Switzerland (Geneva, Lausanne, Zurich & Basel) and France (Annecy, Lyon & Paris).
Above all, Qim info is a collective of consultants able to work at every level of an Information System, across a wide range of expertise areas: IT, data, digital, quality, engineering, and organization, in complex and highly regulated environments.
We support our clients in demanding sectors such as finance, insurance, industry, the public sector, and critical systems.
With more than 600 employees, we are constantly looking for new talent to take on high value-added challenges.
Qim info has an overall rating of 4.1/5 on Glassdoor and ranks 3rd in the ICTJournal 2025 ranking.
In a few words We are looking for
Generative Ai Engineer . The contractor will support the design, development, and scaling of Generative AI applications, with a strong focus on robust architectures, performance, and integration into enterprise systems.
Design, build, and deploy end-to-end Generative AI applications using Azure AI services and modern GenAI frameworks
Develop and optimize RAG pipelines (data ingestion, chunking, embeddings, retrieval strategies)
Implement orchestration patterns for complex workflows (multi-step reasoning, tool integration, APIs)
Ensure scalability, reliability, cost-efficiency, and observability of AI solutions in production
Integrate AI capabilities into existing enterprise platforms, data systems, and business workflows
Contribute to the industrialization of AI development (reusable components, frameworks, best practices)
Collaborate closely with business, product, data, and engineering teams to identify and deliver high-value use cases
Proven experience building production-grade Generative AI applications
Strong understanding of RAG architectures, embeddings, vector search, and retrieval optimization
Experience with LLM orchestration frameworks (e.g., Semantic Kernel, LangChain, Prompt Flow)
Experience designing scalable, maintainable, and observable systems
Experience in industrializing/standardizing AI or data solutions
Hands‑on experience with Microsoft Copilot and Microsoft Power Platform
Knowledge of agent design patterns
Exposure to financial service
Banking sector environment.
Swiss residency is mandatory.
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Above all, Qim info is a collective of consultants able to work at every level of an Information System, across a wide range of expertise areas: IT, data, digital, quality, engineering, and organization, in complex and highly regulated environments.
We support our clients in demanding sectors such as finance, insurance, industry, the public sector, and critical systems.
With more than 600 employees, we are constantly looking for new talent to take on high value-added challenges.
Qim info has an overall rating of 4.1/5 on Glassdoor and ranks 3rd in the ICTJournal 2025 ranking.
In a few words We are looking for
Generative Ai Engineer . The contractor will support the design, development, and scaling of Generative AI applications, with a strong focus on robust architectures, performance, and integration into enterprise systems.
Design, build, and deploy end-to-end Generative AI applications using Azure AI services and modern GenAI frameworks
Develop and optimize RAG pipelines (data ingestion, chunking, embeddings, retrieval strategies)
Implement orchestration patterns for complex workflows (multi-step reasoning, tool integration, APIs)
Ensure scalability, reliability, cost-efficiency, and observability of AI solutions in production
Integrate AI capabilities into existing enterprise platforms, data systems, and business workflows
Contribute to the industrialization of AI development (reusable components, frameworks, best practices)
Collaborate closely with business, product, data, and engineering teams to identify and deliver high-value use cases
Proven experience building production-grade Generative AI applications
Strong understanding of RAG architectures, embeddings, vector search, and retrieval optimization
Experience with LLM orchestration frameworks (e.g., Semantic Kernel, LangChain, Prompt Flow)
Experience designing scalable, maintainable, and observable systems
Experience in industrializing/standardizing AI or data solutions
Hands‑on experience with Microsoft Copilot and Microsoft Power Platform
Knowledge of agent design patterns
Exposure to financial service
Banking sector environment.
Swiss residency is mandatory.
#J-18808-Ljbffr
