Senior AI Developer

N2JSoft, administrative and HR softwares

AI Developer creating innovative solutions to enhance fintech SaaS products. Collaborating with R&D teams and leveraging cloud technologies for development processes.

Posted 7/2/2026full-timeRemote • 🇫🇷 FranceSenior💰 €40,000 - €60,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and developing AI solutions using Python, with a strong focus on implementing RAG pipelines and leveraging AWS cloud services. Proficient in integrating AI tools and orchestrating automation to enhance product offerings.

Highest-signal resume keywords

Python ProgrammingAWS Cloud ServicesAI APIs IntegrationRAG ImplementationPrompt Engineering

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Software DevelopmentAI Solution DesignModel Fine-TuningContextual Data RetrievalLLM Knowledge

Tools & Technologies

N8NOpenAIClaudeAWS BedrockAWS LambdaAWS S3

Industry Keywords

AI SolutionsRetrieval-Augmented GenerationAutomation ToolsModel RelevanceScalable AI Solutions

Tech Stack

Tools & technologies

AWSCloudPython

About the role

Key responsibilities & impact

Design and develop AI solutions in Python.
Implement RAG (Retrieval-Augmented Generation) pipelines to improve model relevance.
Leverage AWS cloud services, in particular AI/LLM services (e.g., Bedrock).
Integrate AI tools and orchestration (N8N, OpenAI, Claude, etc.).
Experiment and continuously improve via prompt engineering and model fine-tuning.
Monitor AI technology trends and propose ideas/concepts to enhance our products.
Collaborate with product, data, and development teams to productionize reliable, scalable AI solutions.

Requirements

What you’ll need

Proven experience (minimum 3 to 5 years) in software development (preferably on AI projects)
Strong proficiency in Python
Experience with AWS (ideally Bedrock, Lambda, S3, etc.)
Good knowledge of 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