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Onepoint

End-to-end organizational transformation and modernization

AI Engineer

AI Application EngineeringUpdated on Nov 15
Full-timeNantes, FranceNo salary listed

About the Job

Requirements

  • At least 2 years of experience in Data Science, Data Engineering, or Software Engineering, with initial concrete generative AI achievements in professional projects or advanced personal projects.
  • Mastery of Python and software engineering best practices, including Clean Code, Git, and CI/CD.
  • Ability to orchestrate complex LLM workflows and select appropriate models for use cases.
  • Ability to integrate solutions into client data ecosystems, including vector databases.
  • Ability to deploy on AWS, Azure, GCP, or constrained on-premise environments.
  • Ability to establish client-appropriate LLM monitoring and evaluation.
  • Ability to adapt to client technologies and constraints, including legacy systems and banking security requirements.
  • Ability to explain complex technical concepts to business and IT teams and advise on whether RAG is appropriate.
  • Ability to produce clean, robust, modular, production-ready code.

Responsibilities

  • Implement RAG solutions, AI agents, and business assistants.
  • Integrate LLMs into existing systems and orchestrate their interactions.
  • Optimize prompts, embeddings, and orchestration chains to improve relevance and performance.
  • Manage cost, latency, and security issues in generative AI solutions.
  • Establish governance and compliance practices for generative AI.
  • Collaborate with Data, IT, and business teams to ensure solution consistency.
  • Analyze business needs and define an appropriate strategy, such as RAG, agents, or fine-tuning, and a technology stack suited to the client environment.
  • Develop robust, modular Python code to integrate LLMs with existing information systems, APIs, and data lakes, moving beyond proof-of-concept solutions.
  • Control costs and latency through LLMOps and implement security guardrails.
  • Explain technical concepts and guide client business and IT teams in adopting these technologies.

About the Company

Onepoint

End-to-end organizational transformation and modernization

Onepoint helps organizations modernize and transform by providing end-to-end advisory and delivery services that cover strategy, design, platforms, and implementation for both private sector companies and public administrations. It works by organizing its experts into open communities to combine business and technology skills, guiding projects from strategic vision through operational deployment across its global network of offices. The company differentiates itself through its open-community model, audacious and practical mindset, and its focus on designing concrete paths to the future—new ways of working, new business models, and new places—rather than just delivering isolated tech solutions. Its goal is to design a new world for its clients and help them move Beyond the obvious.

Company size
1,001-5,000
Company stage
Growth Equity (Non-Venture Capital)
Total funding
$176M
Headquarters
Paris, France
Founded
2002

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