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You will be updated with latest job alerts via emailXebia is a trusted advisor in the modern era of digital transformation serving hundreds of leading brands worldwide with end-to-end IT solutions. The company has experts specializing in technology consulting software engineering AI digital products and platforms data cloud intelligent automation agile transformation and industry digitization. In addition to providing high-quality digital consulting and state-of-the-art software development Xebia has a host of standardized solutions that substantially reduce the time-to-market for businesses.
Xebia also offers a diverse portfolio of training courses to help support forward-thinking organizations as they look to upskill and educate their workforce to capitalize on the latest digital capabilities. The company has a strong presence across 16 countries with development centres across the US Latin America Western Europe Poland the Nordics the Middle East and Asia Pacific.
Job Title: Contractor Senior Engineer (GenAI & Prompt Engineering)
About the Role
We are looking for ahighly experienced GenAI Engineer with deep expertise in prompt engineering retrieval-augmented generation (RAG) and vector-based search systems to help integrate GenAI into our engineering and DevOps ecosystem.
As a contractor in this role you willbuild intelligent context-aware assistants and agents that augment CI/CD workflows knowledge retrieval incident handling and developer productivity using LLMs Python and NLP pipelines. You will lead the charge in making our platform smarter and more autonomous by embedding GenAI natively into infrastructure and developer experience workflows.
Key Responsibilities
Design iterate and optimize prompts for task-specific LLM workflows with high accuracy relevance and controllability
Build RAG pipelines using vector databases like FAISS Weaviate Pinecone or similar to support knowledge retrieval and contextual AI agents
Integrate LLMs into internal engineering tools CI/CD workflows and observability systems for real-time summarization automation and productivity enhancement
Leverage Python-based frameworks like LangChain LlamaIndex Haystackand others to implement end-to-end GenAI solutions
Fine-tune open-source or commercial models (OpenAI Claude Cohere Mistraletc.) as needed for domain-specific use cases
Collaborate with DevOps and platform teams to identify automation and GenAI augmentation opportunities
Ensure data privacy governance and ethical standards are met when using internal datasets or embedding knowledge
Optimize response quality through prompt chaining feedback loops and context compression techniques
Experience integrating GenAI into CI/CD tools observability dashboards or chat-based interfaces
Required Skills & Experience
610 years in engineering roles with 2 years hands-on in GenAI NLP or LLMbased systems
Proven experience in prompt engineering and LLM integration for backend or infrastructure automation
Strong Python development skills and working knowledge of LangChain LlamaIndex Hugging Face Transformers or similar GenAI libraries
Deep understanding of vector databases (e.g. FAISS Pinecone Weaviate Qdrant) and embedding techniques
Experience designing and deploying RAG architectures for internal knowledge access and contextually intelligent systems
Familiarity with NLP concepts like tokenization summarization intent extraction semantic similarity etc.
Experience with LLM APIs (OpenAI Azure OpenAI Claude etc.) and streaming response generation
Ability to work in fast-paced iterative development cycles in a collaborative DevOps/platform engineering environment
Nice to Have
Understanding of multi-modal models or fine-tuning open LLMs for specialized use
Familiarity with developer-facing GenAI use cases: changelog generation log triage infra as code review chatbot copilots
Experience working with Kubernetes GitOps or DevSecOps platforms a plus
Some useful links:
Xebia Creating Digital Leaders.
Experience:
Senior IC
Full Time