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Onepoint

End-to-end organizational transformation and modernization

AI Engineer

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

About the Job

Requirements

  • At least two years of solid experience in Data Science, Data Engineering, or Software Engineering, with initial concrete generative AI achievements through professional projects or advanced personal projects.
  • Indispensable mastery of Python and software engineering best practices, including Clean Code, Git, and CI/CD.
  • Ability to adapt to different client technology ecosystems and constraints, including legacy systems and banking security requirements.
  • Ability to explain complex technical concepts clearly to business and IT teams.
  • Ability to write clean code and deliver maintainable solutions.
  • Ability to work with LLM orchestration technologies such as LangChain, LlamaIndex, or Semantic Kernel, and select suitable models, including OpenAI, Azure AI, Bedrock, Vertex AI, Mistral, or Llama.
  • Ability to integrate with client data environments and vector databases such as Pinecone, Qdrant, Weaviate, pgvector, or Elasticsearch.
  • Ability to deploy on AWS, Azure, GCP, or constrained on-premises environments.
  • Ability to implement client-appropriate LLMOps monitoring and evaluation tools such as LangSmith, MLflow, or Ragas.

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 for generative AI solutions.
  • Establish governance and compliance best practices for generative AI.
  • Collaborate closely with Data, IT, and business teams to ensure solutions are coherent.
  • Analyze business needs and define the best strategy, including RAG, agents, or fine-tuning, and an appropriate technology stack for the client's environment.
  • Develop robust, modular Python code to integrate LLMs with existing information systems, APIs, and data lakes, and move beyond proof-of-concept solutions.
  • Ensure solutions are viable by controlling costs and latency through LLMOps and implementing security guardrails.
  • Explain technical concepts and guide client business and IT teams in adopting new 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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