Generative AI Software Engineer
Role details
Job location
Tech stack
Job description
Would you like to play a key role in L'Oréal's Research and Innovation strategy? We are developing an essential foundation model and seeking to strengthen our industrialization capabilities for AI model inference. Our IT team is looking for an experienced Software Engineer whose tasks will consist of designing and optimizing the inference backend for this strategic model. You will also participate in the development of unstructured data processing pipelines, the development of APIs, and integration with our GenAI stack, thereby contributing directly to the industrialization and deployment of innovative solutions.
INTERESTED? THIS IS WHAT YOU WILL DO IN NUTSHELL!
As a Generative AI Software Engineer in the R&I IT Algo Platform Team, your role will be at the very core of our innovation. You will act as a key developer and designer, creating and building cutting-edge digital products that leverage AI and Generative AI models.
Your role will be central to defining the technical architecture and validating solutions for various use cases. You will be an active developer and contributor throughout all critical project phases--from initial design and prototyping to deployment (CI/CD), run, and monitoring. You will implement the IT processes, frameworks, and best practices provided by our Center of Excellence in the Global Beauty Tech Data Team.
This position is a unique opportunity to showcase your technical expertise, contribute directly to the development of state-of-the-art solutions, and drive innovation across R&I.
IF YOU WANT TO GO FURTHER IN DETAILS, THIS IS WHAT YOU COULD EXPECT TO DO
- Ensure the team adheres to the best practices, governance and framework provided by IT Global.
- Lead on innovative topics based on the use of LLM, RAG and Agentic AI.
- Technology watch and self-training
- Contribute to sharing and promoting Agentic Technology within IT R&I.
Requirements
Do you have experience in Terraform?, First and foremost,we love people that are curious, collaborative, eager to have an impact and who value innovation, autonomy, and team spirit.
Secondly,in this specific position, it will be helpful for you to have some experience in:
- Proven experience in the industrialization of Generative AI projects.
- A strong understanding of computer science fundamentals.
- Deep familiarity with large language models (LLMs) such as the Gemini family (Google), GPT (OpenAI), Claude (Anthropic), and Mistral AI, as well as the associated techniques and frameworks used to implement them (Vector stores, RAG, Knowledge Graph, MCP, A2A, ADK, etc.).
- Mastery of Python, GCP, Terraform, SQL.
- The ability to communicate effectively with both technical and non-technical audiences.
- The ability to lead technical presentations, demonstrations, workshops, and architecture design sessions.
- Adaptability and a willingness to continuously learn and stay on top of GenAI trends.
- Strong humility and a collaborative approach to problem-solving.
- Resilience and the ability to thrive in a dynamic, fast-paced work environment.
- Finally, while you may not be an expert in all the technologies listed, you must show great curiosity and a drive to understand the ones you haven't yet mastered.
