Senior AI engineer

Keoni; Paris; Hybrid; EUR 90,000 - 130,000; Full time

Job summary

Keoni is seeking a Senior AI engineer to industrialize an existing generative AI solution and design AI agents integrated with business tools. You will work on LLM/RAG challenges, ensure performance, security, and cost control, and expand use cases with new data sources.

The role requires hands-on development in Python and C#, strong Azure knowledge, and experience with agent orchestration frameworks. You will join a European team and contribute to delivery in a demanding environment.

Qualifications

• Proven experience in generative AI and AI agents.
• Mastery of LLM, RAG, embeddings, prompt engineering, and tool calling.
• Experience with agent orchestration frameworks (e.g., Semantic Kernel or equivalent).

Responsibilities

• Design and implement generative AI architectures.
• Develop and evolve AI agents (copilots, business assistants).
• Ensure performance, security, compliance and cost control.
• Expand use cases and data sources.

Skills

Generative AI

AI agents

LLM

RAG

Embeddings

Prompt engineering

Tool calling

Agent orchestration

Python

C#

JavaScript

DevSecOps

Monitoring

Observability

Autonomy

Communication

English

Tools

Copilot Studio

AI Foundry/Fabric

API Management

Power Platform

Dataverse

Azure Functions

Job description

# Senior AI engineer* 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. – 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