Senior AI engineer
Il y a 2 jours
Paris, Île-de-France
Keoni
Temps plein
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# Senior AI engineer
Postulez ci-dessous après avoir lu tous les détails et les informations complémentaires concernant cette opportunité d'emploi.
* Senior AI engineerCONTEXT Experience: 6+ years Job Titles/Functions: Research & Development, Developer Technological Specialties: Reporting, DevsecOps, Generative AIMISSIONS Mission Objectives – Industrialize an existing generative AI solution.
– Design and develop AI agents integrated with business tools.
– Guarantee performance, security, compliance, and cost control.
– Expand use cases (new user journeys, new data sources).
Key Responsibilities (Summary) AI & Architecture: – Design and implement generative AI architectures.
– Develop and evolve AI agents (copilots, business assistants).
– Work on LLM/RAG/prompt engineering/agent orchestration challenges.Desired Expertise and Essential Technical Skills – Proven experience in generative AI/AI agents.
– Mastery of concepts such as LLM, RAG, embeddings, prompt engineering, and tool calling.
– Experience with agent orchestration frameworks (e.g., Semantic Kernel or equivalent).
– Very good knowledge of the Microsoft Azure ecosystem: – Copilot Studio, AI Foundry/Fabric, – API Management, – Power Platform, Dataverse, – Azure Functions.
– Development: Python (essential), C#, and JavaScript.
– Understanding of DevSecOps practices, monitoring, and observability.Key soft skills: – Ability to work in a structured and demanding environment.
– Good communication skills and collaborative spirit. xuezdbg
– Rigor, autonomy, and a focus on delivery.Skills, Technologies and Tools: Python, Microsoft Azure; Methodologies/Standards: Agile, Scrum; Soft Skills : Autonomy, Rigor; Languages : English (Fluent/Professional)
Work location:
Europe
Postulez ci-dessous après avoir lu tous les détails et les informations complémentaires concernant cette opportunité d'emploi.
* Senior AI engineerCONTEXT Experience: 6+ years Job Titles/Functions: Research & Development, Developer Technological Specialties: Reporting, DevsecOps, Generative AIMISSIONS Mission Objectives – Industrialize an existing generative AI solution.
– Design and develop AI agents integrated with business tools.
– Guarantee performance, security, compliance, and cost control.
– Expand use cases (new user journeys, new data sources).
Key Responsibilities (Summary) AI & Architecture: – Design and implement generative AI architectures.
– Develop and evolve AI agents (copilots, business assistants).
– Work on LLM/RAG/prompt engineering/agent orchestration challenges.Desired Expertise and Essential Technical Skills – Proven experience in generative AI/AI agents.
– Mastery of concepts such as LLM, RAG, embeddings, prompt engineering, and tool calling.
– Experience with agent orchestration frameworks (e.g., Semantic Kernel or equivalent).
– Very good knowledge of the Microsoft Azure ecosystem: – Copilot Studio, AI Foundry/Fabric, – API Management, – Power Platform, Dataverse, – Azure Functions.
– Development: Python (essential), C#, and JavaScript.
– Understanding of DevSecOps practices, monitoring, and observability.Key soft skills: – Ability to work in a structured and demanding environment.
– Good communication skills and collaborative spirit. xuezdbg
– Rigor, autonomy, and a focus on delivery.Skills, Technologies and Tools: Python, Microsoft Azure; Methodologies/Standards: Agile, Scrum; Soft Skills : Autonomy, Rigor; Languages : English (Fluent/Professional)
Work location:
Europe