Nagarro
Technology
SeniorStaffEngineer,AI,LLM
Neural analysis suggests this role is
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“Senior Staff Engineer, AI, LLM at Nagarro. Skills: AI/ML Engineering, Generative AI, LLMs, Agentic Workflows. Design Generative AI solutions. Build Generative AI solutions”
Industry & Context.
Troubleshoot production issues
What They're Looking For.
Must Have
Total experience 8+ years, AI/ML Engineering experience, Generative AI solution development, Python development for AI/ML, Scalable AI services, GCP and Vertex AI experience, Model deployment experience, Pipeline experience, AI services experience, Deep LLM understanding, Foundation Models understanding, Embeddings understanding, Prompt engineering understanding, RAG architectures understanding, Agentic Workflows experience, AI Agents experience, Vector Search experience, AI security experience, AI governance experience, Responsible AI practices experience, MLOps knowledge, CI/CD knowledge, Automated testing knowledge, Infrastructure as Code knowledge, Observability knowledge, Monitoring knowledge, Logging knowledge, Tracing knowledge, APIs understanding, Microservices understanding, Cloud-native architectures understanding, Excellent problem-solving skills, Excellent communication skills, Excellent stakeholder management skills, Bachelor's degree in Computer Science, Bachelor's degree in Information Technology, Master's degree in Computer Science, Master's degree in Information Technology
What You'll Do.
Design Generative AI solutions
Build Generative AI solutions
Deploy Generative AI solutions
Design Agentic AI solutions
Build Agentic AI solutions
Deploy Agentic AI solutions
Develop Agentic Workflows
Develop RAG-based solutions
Leverage enterprise data sources
Design secure AI architectures
Design scalable AI architectures
Design reliable AI architectures
Align AI architectures with business requirements
Build reusable AI components
Maintain AI platforms
Maintain reusable AI components
Implement AI security
Implement AI governance
Implement AI monitoring
Implement AI observability
Implement AI performance optimization
Establish CI/CD pipelines
Manage CI/CD pipelines
Establish MLOps processes
Manage MLOps processes
Design AI testing strategies
Execute AI testing strategies
Design AI evaluation strategies
Execute AI evaluation strategies
Design AI quality assurance strategies
Execute AI quality assurance strategies
Collaborate with Product teams
Collaborate with Engineering teams
Collaborate with Data Science teams
Deliver AI-powered solutions
Develop high-quality Python code
Participate in code reviews
Participate in architecture discussions
Research emerging AI technologies
Drive continuous improvement
Troubleshoot production issues
Provide technical leadership
Provide technical mentoring
How You'll Work.
Team & Collaboration
Product teams; Engineering teams; Data Science teams
Communication Scope
Stakeholder management
Process & Methodology
MLOps, CI/CD
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 scale across all devices and digital mediums, and our people exist everywhere in the world (18,500+ 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 8+ years. • Strong experience in AI/ML Engineering and Generative AI solution development. • Hands-on expertise in Python development for AI/ML applications and scalable AI services (Must Have). • Strong experience with GCP and Vertex AI, including model deployment, pipelines, and AI services (Must Have). • Deep understanding of LLMs, Foundation Models, embeddings, prompt engineering, and RAG architectures (Must Have). • Hands-on experience building Agentic Workflows and AI Agents (Must Have). • Experience with Vector Search, AI security, governance, and responsible AI practices. • Strong knowledge of MLOps, CI/CD, automated testing, and Infrastructure as Code. • Experience with observability, monitoring, logging, and tracing for AI systems. • Strong understanding of APIs, microservices, and cloud-native architectures. • Excellent problem-solving, communication, and stakeholder management skills. RESPONSIBILITIES: • Design, build, and deploy production-grade Generative AI and Agentic AI solutions using GCP and Vertex AI. • Develop AI Agents, Agentic Workflows, and RAG-based solutions leveraging enterprise data sources. • Design secure, scalable, and reliable AI architectures aligned with business requirements. • Build and maintain AI platforms, APIs, and reusable AI components. • Implement AI security, governance, monitoring, observability, and performance optimization practices. • Establish and manage CI/CD pipelines and MLOps processes for AI solutions. • Design and execute AI testing, evaluation
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