ironquill.tech/board

$ cat jobs/principal-engineer-python-fullstack-react-genai-nagarro1-add2e333eed5.json

Principal Engineer, Python fullstack (React+Genai)

Nagarro1·Worldwide·Remote·senior
pythonreactawsgcpazurellm
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👋🏼 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 scale across all devices and digital mediums, and our people exist everywhere in the world (18000+ experts across 40 countries, to be exact). Our work culture is dynamic and non-hierarchical. We're looking for great new colleagues. That's where you come in! REQUIREMENTS: Total experience 11+ years. Should have 10+ years of experience in software engineering, with strong depth in Python and modern frontend frameworks (React). Should have proven experience architecting and delivering production-grade Generative AI applications at scale. Design solutions and implement ML, generative AI and agentic AI models and algorithms, utilizing state-of-the-art algorithms. Should be able to drive backend deployment, security reviews, and QA pipelines, coordinate integration of RAG APIs and vector DB pipelines Should be able to work on integrating cloud with AI algorithms and On premises AI algorithms. Optimize existing AI models for improved performance, scalability, and efficiency. Should be able to develop and maintain AI pipelines, including data pre-processing, feature extraction, model training, and evaluation. Should be able to drive the team to build AI products and solutions, working in an agile methodology Manage delivery across pods building scalable AI and API services Should have deep understanding of LLM integration patterns, RAG systems, and AI-driven UX design. Should have experience in Datarobot for architecting and building GenAI Solutions, RAG Agents and Deployment Must have experience defining technical strategy and influencing architecture across teams or pods. Should have hands-on experience with cloud platforms (AWS, Azure, or GCP) and distributed systems. Should have strong grasp of security, privacy, and governance considerations for enterprise AI. Must have ability to trans

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