AI Engineer — LLM & Autonomous Systems (Hybrid, France)

Meltwater; Paris; Hybride; EUR 90 000 - 130 000; Plein temps

Avantages offerts par ce poste

Flexible paid time off

Comprehensive health insurance

Employee assistance program

Calm App subscription

Hybrid work style

Family leave program

Professional development opportunities

Résumé du poste

Meltwater in Paris is seeking an experienced AI Engineer to design, build and deploy cutting-edge AI solutions, focusing on LLM-powered applications and data enrichments. You will own end-to-end AI delivery from concept to production, shaping agentic workflows and autonomous systems that improve user experiences.

Ideal candidates have 5+ years in AI/ML engineering, strong Python and API skills, and hands-on experience with cloud services, Docker/Kubernetes, and prompt engineering.

Qualifications

• 5+ years hands-on experience in AI/ML engineering or related roles.
• Bachelor's or master's in CS or equivalent.
• Strong Python and familiarity with Java/Kotlin; API design.

Responsabilités

• Own end-to-end AI solution delivery from concept to production deployment and optimization.
• Architect and implement LLM-powered applications & enrichments, multi-agent workflows, and autonomous AI systems.
• Deploy and operate these LLM applications at scale with monitoring for performance and AI indicators.
• Ensure security, compliance, and cost-efficiency while iterating based on user feedback and performance data.

Connaissances

AI/ML engineering

Python

Java/Kotlin

API design

Prompt engineering

LLM workflows

LangChain

LangGraph

OpenAI API

Kubernetes

Docker

Azure

CI/CD

Formation

Bachelor's degree in CS or equivalent

Outils

Docker

Kubernetes

CI/CD

Description du poste

Meltwater in Paris is seeking an experienced AI Engineer to design, build and deploy cutting-edge AI solutions, focusing on LLM-powered applications and data enrichments. You will own end-to-end AI delivery from concept to production, shaping agentic workflows and autonomous systems that improve user experiences.

Ideal candidates have 5+ years in AI/ML engineering, strong Python and API skills, and hands-on experience with cloud services, Docker/Kubernetes, and prompt engineering.