Experience:

• 3–5+ years of experience in software engineering, machine learning engineering, data engineering, or applied AI

Responsibilities:

• Develop and implement AI and Agentic AI solutions to enhance customer engagement, sales effectiveness, and operational efficiency
• Build intelligent workflows using LLMs, enterprise data, and tool integrations to automate customer and business processes
• Develop production-ready GenAI applications including RAG, prompt engineering, and AI-powered business workflows
• Build and maintain scalable data pipelines and AI solutions using GCP services
• Integrate AI applications with enterprise systems, APIs, and data platforms ensuring operational reliability and performance
• Collaborate with product managers, software engineers, data engineers, and business stakeholders to translate business requirements into AI-enabled solutions
• Contribute to shared AI frameworks, reusable components, evaluation pipelines, and engineering standards
• Ensure AI applications comply with enterprise security, governance, responsible AI, and operational standards

Additional responsibilities:

• Work at the intersection of data, AI, and CRM modernization to build intelligent, scalable solutions
• Support compliance and governance in AI solutions
• Help build enterprise AI platforms and reusable frameworks
• Ensure AI solutions are reliable, secure, and aligned with responsible AI and governance standards

Nice to have:

• Experience with Agentic AI concepts including orchestration frameworks, tool calling, context management, or multi-step AI workflows
• Understanding of vector databases and LLM evaluation techniques
• Good problem-solving, analytical, and communication skills
• Ability to work collaboratively in cross-functional teams

More skills:

Artificial Intelligence, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), Backend services development, APIs, Data pipelines, LangGraph, Google Cloud Platform (GCP), Composer (Airflow), DataProc, Cloud-native application development, Distributed systems, CI/CD, Docker, Production deployment

Other:

• Part of a global engineering organization shaping the future of commerce through platforms, data, and AI
• Culture built on 175-year history of innovation and shared values
• Comprehensive support for holistic well-being including physical, financial, and mental health
• Flexible working model with hybrid, onsite, or virtual arrangements
• Competitive base salaries and bonus incentives
• Support for financial well-being and retirement
• Comprehensive medical, dental, vision, life insurance, and disability benefits depending on location
• Generous paid parental leave policies depending on location
• Free access to global on-site wellness centers staffed with nurses and doctors depending on location
• Free and confidential counseling support through Healthy Minds program
• Career development and training opportunities
• Equal opportunity employer with employment decisions made without regard to protected status
• Offer conditioned upon successful background verification check