Nagarro Senior Staff Engineer (Cloud-Native Gen AI Development) \\\| SmartRecruiters Google Chrome Microsoft Edge Apple Safari Mozilla Firefox . Senior Staff Engineer (Cloud-Native Gen AI Development) Full-time Service Region: South Asia Company 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 scale across all devices and digital mediums, and our people exist everywhere in the world (17500 experts across 36 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! Job Description Requirements Experience : 7.5+ Years Mandatory hands-on Python coding capability for building production-grade GenAI, ML, and RAG pipelines. Demonstrable experience in building agentic workflows, RAG optimizations, and scalable LLM integrations. Strong foundation in traditional ML and data science, including feature engineering, model tuning, and statistical evaluation. Proven experience using Compass AI services in production-grade projects. Experience in building and optimizing ML pipelines on Azure. Good command of the Arabic language (verbal and written) is a plus. Responsibilities Lead the engineering, deployment, and scaling of enterprise-grade AI platforms, including Conversational AI, LLM-based agents, and multi-agent orchestration frameworks. Design, code, and implement reusable frameworks, APIs, and SDKs for scalable enterprise consumption of AI capabilities. Build production-grade GenAI/RAG/ML systems, implementing RAG pipelines, vector database integrations, and knowledge graph-based retrieval. Own MLOps for LLM/ML workloads, including CI/CD, monitoring, retraining, observability, performance tuning, and drift detection. Rapidly translate new research into applied solutions and experiment with emerging tools and techniques. Evaluate AI frameworks and recommend enterprise adoption strategies. Mentor and guide AI engineers, fostering a culture of experimentation and engineering excellence. Lead end-to-end delivery of AI projects, managing risks related to performance, model drift, latency, and integration. Ensure engineering quality through regular code and design reviews and coordinate with data scientists, platform teams, and stakeholders. Own UAT planning, test case development, defect triaging, and ensure production rollout readiness. Qualifications Bachelors or masters degree in computer science, Information Technology, or a related field. Videos To Watch I'm interested I'm interested Imprint I'm interested Refer a friend share this job Share on LinkedIn&mini=true&source=SmartRecruiters&summary=Nagarro%20is%20looking%20for%3A%20Senior%20Staff%20Engineer%20(Cloud-Native%20Gen%20AI%20Development)%20in%20India%2C%20India.%20https%3A%2F%2Fjobs.smartrecruiters.com%2FNagarro1%2F744000104467904-senior-staff-engineer-cloud-native-gen-ai-development-%3Ftrid%3D463ac537-35c8-4256-8fe4-47ea285de0a6&url=https%3A%2F%2Fjobs.smartrecruiters.com%2FNagarro1%2F744000104467904-senior-staff-engineer-cloud-native-gen-ai-development-%3Ftrid%3D463ac537-35c8-4256-8fe4-47ea285de0a6 Share on LinkedIn) Share on Facebook Share on Twitter.&via=SmartRecruiters&url=https%3A%2F%2Fjobs.smartrecruiters.com%2FNagarro1%2F744000104467904-senior-staff-engineer-cloud-native-gen-ai-development-%3Ftrid%3D33221b55-7baa-4189-992e-a7fac0c08950 Share on Twitter) Share via email&body=Nagarro%20is%20looking%20for%3A%20Senior%20Staff%20Engineer%20(Cloud-Native%20Gen%20AI%20Development)%20in%20India%2C%20India.%20https%3A%2F%2Fjobs.smartrecruiters.com%2FNagarro1%2F744000104467904-senior-staff-engineer-cloud-native-gen-ai-development- Share via email) Share on Xing Share on WeChat Share to WeChat × Copy the link and open WeChat to share. Copy to clipboard Open WeChat Share to WeChat × Use Scan QR Code in WeChat and click ··· to share. × Continue Senior Staff Engineer (Cloud-Native Gen AI Development) India, India Full-time I'm interested I'm interested

The role requires a minimum of 7.5 years of experience, with mandatory hands-on Python coding capability for building production-grade GenAI, ML, and RAG pipelines. Demonstrable experience in building agentic workflows, RAG optimizations, and scalable LLM integrations is essential. A strong foundation in traditional ML and data science, including feature engineering, model tuning, and statistical evaluation, is necessary. Proven experience using Compass AI services in production-grade projects and building/optimizing ML pipelines on Azure are also required. A Bachelors or masters degree in computer science, Information Technology, or a related field is a qualification for this position.