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Generative AI Engineer
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Role Summary
We are looking for a GenAI Engineer to design, build and scale production-ready Generative AI solutions that solve enterprise business problems. The role will focus on LLM-powered applications such as copilots, conversational agents, document intelligence solutions and AI-driven automation integrated with enterprise systems, including SAP S/4HANA.
The engineer will work with product, SAP, backend engineering and cloud platform teams to deliver secure, compliant, cost-efficient and reliable AI capabilities for business adoption.
Skills and Experience Required
- 5+ years of software engineering experience, including hands-on delivery of AI, LLM or applied ML solutions in production environments.
- Strong Python programming skills, with working knowledge of TypeScript, Java or Node.js as an advantage.
- Hands-on experience with Azure OpenAI Service, AWS Bedrock or equivalent LLM platforms.
- Practical experience building copilots, AI agents or intelligent automation using Copilot Studio, Azure AI Studio, LangChain, LlamaIndex or equivalent frameworks.
- Strong understanding of RAG design, vector embeddings, chunking strategies and retrieval optimisation.
- Experience integrating systems using REST APIs, OData, GraphQL or event-driven architectures.
- Understanding of cloud deployment, Docker, Kubernetes and CI/CD pipelines for AI workloads.
- Good understanding of enterprise security patterns including OAuth 2.0, managed identities, RBAC, secret management and data residency considerations.
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Preferred / Good to Have
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- Experience integrating AI services with SAP S/4HANA.
- Knowledge of SAP BTP, SAP Integration Suite, SAP AI Core or SAP Joule.
- Familiarity with Azure AI Search, OpenSearch, Pinecone, LangSmith, Azure Monitor or AWS CloudWatch.
- Experience with model evaluation, guardrails and responsible AI implementation in enterprise settings.
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