Remote AI Developer: LLMs, RAG & Automation Expert

Jobgether

France

Remote

EUR 60,000 - 110,000

Full time

4 days ago
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Benefits offered by this job

Competitive salary
Fully remote

Job summary

Jobgether, partnering with a company in France, seeks an AI Developer to design and build AI-powered applications. This remote role focuses on turning business requirements into scalable AI solutions, leveraging LLMs, RAG, and generative AI tools.

You will work with APIs and third-party platforms, embed intelligent capabilities into existing software, and ensure secure, reliable deployments across business processes in a collaborative team.

Qualifications

  • Proven experience in software development, AI engineering, or machine learning.

Responsibilities

  • Design, develop, and deploy AI-powered applications and solutions.
  • Integrate LLMs and generative AI tools into existing products and systems.
  • Build AI agents, chatbots, and automated workflows to streamline business processes.
  • Work with APIs and third-party AI platforms to introduce intelligent functionalities.
  • Implement Retrieval-Augmented Generation (RAG) architectures and integrate vector databases.
  • Develop, test, and optimize machine learning models and AI applications.
  • Ensure solutions are scalable, reliable, secure, and efficient.
  • Collaborate with software development teams to integrate AI capabilities into existing systems.
  • Monitor AI performance and continuously improve model accuracy, reliability, and efficiency.

Skills

Python
English (upper-intermediate)
AI engineering
NLP

Tools

LangChain
LangGraph
LlamaIndex
Hugging Face
OpenAI GPT
Claude
Gemini
Vector databases
Cloud platforms

Job description

Jobgether, partnering with a company in France, seeks an AI Developer to design and build AI-powered applications. This remote role focuses on turning business requirements into scalable AI solutions, leveraging LLMs, RAG, and generative AI tools.

You will work with APIs and third-party platforms, embed intelligent capabilities into existing software, and ensure secure, reliable deployments across business processes in a collaborative team.

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