Generative AI Engineer

Role Summary

We are looking for a GenAI Engineer to build and scale production-ready Generative AI and LLM solutions for enterprise use cases, including copilots, AI agents, document intelligence, and intelligent automation integrated with platforms such as SAP S/4HANA.

Key Requirements

5+ years of software engineering experience with hands-on production experience in AI/LLM/ML solutions.Strong Python skills; TypeScript, Java, or Node.js is a plus.Experience with Azure OpenAI, AWS Bedrock, or equivalent LLM platforms.Hands-on experience with Copilot Studio, Azure AI Studio, LangChain, LlamaIndex, or similar frameworks.Strong knowledge of RAG, embeddings, chunking, vector search, and retrieval optimisation.Experience with REST APIs, OData, GraphQL, or event-driven architectures.Knowledge of Docker, Kubernetes, CI/CD, and cloud-based AI deployments.Understanding of enterprise security: OAuth 2.0, managed identities, RBAC, secrets management, and data residency.Preferred:Experience with SAP S/4HANA, SAP Integration Suite, SAP AI Core, or SAP Joule.Familiarity with Azure AI Search, OpenSearch, Pinecone, LangSmith, Azure Monitor, or AWS CloudWatch.Experience with LLM evaluation, guardrails, observability, and Responsible AI.