FREE ACCESS
5,000–10,000 jobs/day

See all jobs on JobTailor
Search thousands of fresh jobs every day.
Discover
- Fresh listings
- Fast filters
- No subscription required
Create a free account and start exploring right away.

Experienced AI Developer
N2JSoft, administrative and HR softwaresDéveloppeur IA dans une fintech B2B SaaS se concentrant sur la digitalisation des processus RH et financiers. Conception et développement de solutions innovantes pour l'équipe R&D.
Tech Stack
Tools & technologiesAWSCloudPython
About the role
Key responsibilities & impact- Design and develop AI solutions in Python.
- Implement Retrieval-Augmented Generation (RAG) pipelines to improve model relevance.
- Leverage the AWS cloud, particularly AI/LLM services (e.g., Bedrock).
- Integrate AI tools and orchestration platforms (N8N, OpenAI, Claude, …).
- Conduct experiments and drive continuous improvement through prompt engineering and model fine-tuning.
- Monitor AI technology trends and propose ideas/concepts to enhance our products.
- Collaborate with product, data, and engineering teams to industrialize reliable, scalable AI solutions.
Requirements
What you’ll need- Proven experience (minimum 3 to 5 years) in software development (preferably on AI projects)
- Proficiency in Python
- Experience with AWS (ideally Bedrock, Lambda, S3, etc.)
- Strong familiarity with AI APIs (OpenAI, Claude, etc.)
- Nice to have: First experience deploying AI/LLM solutions to production
- Advanced knowledge of LLMs and prompting techniques
- Practical experience with RAG and contextual data retrieval architectures
- Familiarity with orchestration and automation tools (e.g., N8N)
Benefits
Comp & perks- Holiday bonus
- Christmas gift vouchers
- Back-to-school vouchers (if you have children)
- Culture voucher
- Music lessons
- Team events throughout the year
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
PythonSoftware DevelopmentAI Solution DevelopmentModel Fine-TuningRAG ImplementationLLM KnowledgePrompting TechniquesContextual Data RetrievalAI Tool IntegrationAutomation Tools (N8N)