Nagarro

Technology

SeniorStaffEngineer,AI,LLM

₹35–55L ~AI est. Gurugram, Haryana, India FULL TIME
Market Sentiment
HIGH DEMAND

Neural analysis suggests this role is
optimal for not-applicable candidates.

The Brief

“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.

Technology
Problems you'll solve

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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