About this role
Summary: The AI Developer will design and develop RAG-based AI solutions using Large Language Models and enterprise knowledge sources. Responsibilities include building document ingestion pipelines, integrating LLMs with vector databases, optimizing prompts, and implementing security and monitoring for enterprise deployment.
[Atos](https://atos.net/en/) is the Atos Group brand dedicated to AI-powered, secure, end-to-end digital services. Atos designs, develops, and operates critical digital environments that drive performance, resilience and sovereignty, helping public and private organizations worldwide retain control over their data and infrastructures, while meeting regulatory requirements.
With more than 52,000 employees serving over 4,500 clients across 54 countries, Atos helps modernize core IT systems, accelerate cloud and data transformation, strengthen cybersecurity, and deliver secure digital workplace environments to support its clients, its employees and society. Atos also provides consulting and advisory services through its Atos Amplify brand.
A trusted partner in operating complex and mission-critical environments, Atos supports organizations across highly regulated and sovereign contexts.
About Atos Group
[Atos Group](https://atosgroup.com/) is a global leader in digital transformation with c. 54,000 employees and annual revenue of c. €7.2 billion, operating in 54 countries under two brands - Atos for services and Eviden for products and systems. European number one in cybersecurity and a leader in cloud, Atos Group is committed to a secure and decarbonized future and provides tailored AI-powered, end-to-end solutions for all industries. Atos Group is listed on Euronext Paris.
Are you passionate about building the future with Artificial Intelligence? Do you want to be at the forefront of innovation?
At Atos, we are expanding our capabilities and establishing a center of excellence for Data & AI. We are looking for a motivated AI Developer to join our dedicated team of specialists. In this role, you will not just analyze data; you will be a key player in developing and scaling our AI solutions, directly impacting our products and strategic decisions. This is a unique opportunity to grow with us and shape the future of AI within our organization.
Key Responsibilities:
- Design and develop a RAG-based AI solutions using Large Language Models and enterprise knowledge sources.
- Build document ingestion, chunking, embedding, indexing, retrieval, re-ranking, and generation pipelines.
- Integrate LLMs with vector databases, search services, APIs, and enterprise systems.
- Develop and optimize prompts, retrieval strategies, and context management to improve response accuracy and reduce hallucinations.
- Implement evaluation and monitoring for retrieval quality, groundedness, answer quality, latency, and cost.
- Develop scalable Python backend services and APIs supporting the AI solution.
- Implement security, authorization, citations, and source traceability required for enterprise deployment.
- Collaborate with architecture, engineering, DevOps/MLOps, and business teams to test, deploy, operate, and continuously improve the solution.
Technical Requirements:
- Strong programming skills in Python, including experience in developing production-grade backend applications and AI services.
- Hands-on experience with Generative AI and Large Language Models (LLMs), including prompt engineering, context management and structured outputs.
- Practical experience in designing and implementing Retrieval-Augmented Generation (RAG) solutions.
- Good understanding of the complete RAG pipeline: document ingestion, parsing, chunking, embeddings, indexing, retrieval, re-ranking and answer generation.
- Experience with at least one LLM platform or API, such as Azure OpenAI, OpenAI API, AWS Bedrock, Google Vertex AI, or equivalent.
- Experience with AI orchestration frameworks such as LangChain, LlamaIndex, Semantic Kernel, or similar.
- Experience with vector databases and semantic search, e.g. Azure AI Search, PostgreSQL/pgvector, Pinecone, Weaviate, Qdrant, Elasticsearch/OpenSearch.
- Experience with Git, automated testing and modern software development practices.
- Working knowledge of Docker and containerized application deployment.
- Experience with CI/CD pipelines and cloud-based application deployment.
Language Skills:
- B2/C1 English: mandatory
What's in it for you?
- Courses and certifications (e.g., Google Cloud, AWS, ITIL)
- Wellbeing programs & work-life balance - integration and passion-sharing events
- Private medical and dental care
- Family-friendly offices: Supporting working parents
- Benefits platform – shopping, cinema, sport, etc.
- Co-funding of sport activities (e.g., Multisport & OK system cards, b-active program)
- Conferences and expert communities
- Gift packages for special occasions: Easter, Christmas, Children’s Day
- Appreciation for seniority: additional days off, Atos Jubilee gifts
- Charity and eco initiatives
- Hybrid working mode (max. 2 times per month in the office, based on your location)
*Your benefits could vary depending on the employment contract type.*
Here at Atos, diversity and inclusion are embedded in our DNA. [Read more](https://www.atosgroup.com/en/our-group/csr/social) about our commitment to a fair work environment for all.
Atos is a recognized leader in its industry across Environment, Social and Governance (ESG) criteria. [Find out](https://atos.net/en/about-us/corporate-responsibility-and-sustainability) more on our CSR commitment.
Choose your future. Choose Atos.