Mid-Level
GEN AI Engineer
Company Description
About Sopra Steria Sopra Steria, a major Tech player in Europe with 51,000 employees in nearly 30 countries, is recognised for its consulting, digital services and solutions. It helps its clients drive their digital transformation and obtain tangible and sustainable benefits. The Group provides end-to-end solutions to make large companies and organisations more competitive by combining in-depth knowledge of a wide range of business sectors and innovative technologies with a collaborative approach. Sopra Steria places people at the heart of everything it does and is committed to putting digital to work for its clients in order to build a positive future for all. In 2025, the Group generated revenues of €5.6 billion. The world is how we shape it.
Job Description
Must have skill:
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Strong Python proficiency
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Deep experience with ML/AI frameworks
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Hands-on experience with GenAI orchestration tools (e.g., LangChain)
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Cloud deployment experience (AWS Bedrock, GCP Vertex AI)
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Expertise in LLMs, Agentic Flows, RAG, Embeddings, GCP
Good to have:
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OpenShift or containerization experience
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Open-source AI contributions or ML publications
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Experience in Identity and Access Management (IAM) domain
Roles and Responsibilities: Design, build, and train ML/deep learning models for business problems Build GenAI applications: fine-tune foundation models (LLMs, CV, or NLP), RAG pipelines, and multi-agent systems Clean and optimize data (structured & unstructured) for training pipelines Integrate AI features into products, working closely with engineers, data scientists, and PMs Total Experience Expected: 04-06 years
Qualifications
A Bachelor/ Master Degree in Computer Science, Computer Engineering, Information Technology, or relevant field experience of 4 to 6 years
Additional Information
At our organization, we are committed to fighting against all forms of discrimination. We foster a work environment that is inclusive and respectful of all differences.
All of our positions are open to people with disabilities.
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