👋🏼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, and quality assurance strategies.
• Collaborate with Product, Engineering, and Data Science teams to deliver AI-powered solutions.
• Develop high-quality Python code and participate in code reviews and architecture discussions.
• Research emerging AI technologies and drive continuous improvement and innovation.
• Troubleshoot production issues and provide technical leadership and mentoring.

Bachelor’s or master’s degree in computer science, Information Technology, or a related fields,