Nagarro
Technology
SeniorStaffEngineer(AIDeveloperInfraSecAutomation)
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“Senior Staff Engineer (AI Developer InfraSec Automation) at Nagarro”
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Full Job Description
👋🏼We're Nagarro. We are a Digital Product Engineering company that is scaling in a big way! We build products, services, and experiences that inspire, excite, and delight. We work at a scale — across all devices and digital mediums, and our people exist everywhere in the world (18500+ experts across 40 countries, to be exact). Our work culture is dynamic and non-hierarchical. We are looking for great new colleagues. That is where you come in! Requirements * Experience : 7.5+ years * Strong experience in software engineering, AI/ML development, or applied AI, including experience in building production-grade LLM-based applications. * Strong programming expertise in Python for AI development and automation with hands-on experience in FastAPI or Flask, asynchronous programming, testing frameworks, and package management. * Experience working with LLM providers such as OpenAI, Azure OpenAI, Anthropic, Vertex AI, or similar AI platforms. * Hands-on experience with LLM orchestration frameworks such as LangChain, LlamaIndex, LangGraph, Haystack, or equivalent. * Strong understanding of prompt engineering, structured outputs, JSON schema, function calling, and AI tool orchestration. * Practical experience designing and implementing Retrieval-Augmented Generation (RAG) pipelines using embeddings, chunking strategies, retrieval optimization, and vector databases such as Pinecone, FAISS, Chroma, Weaviate, pgvector, Azure AI Search, or Vertex AI Vector Search. * Experience evaluating LLM performance using frameworks such as RAGAS, DeepEval, Promptfoo, LangSmith, or similar evaluation platforms. * Working knowledge of Java for backend service development and REST API implementation. * Basic frontend development skills using HTML, CSS, and JavaScript. * Strong understanding of Linux, Shell scripting, Git, Docker, CI/CD pipelines, and software deployment practices. * Experience working with at least one major cloud platform such as Microsoft Azure, AWS, or Google Cloud Platform.
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