PayPal Staff AI/ML Software Engineer 

United States, California, San Jose 

146587983

This job acts as a project leader, coordinating the activities of other engineers, determining technical tasks, and improving existing structures and processes. It involves making technical decisions, collaborating with management to set standards, and representing the company to external partners.

Essential Responsibilities:

• Acts as a project or system leader, coordinating the activities of other engineers on the project or within the system
• Determines the technical tasks that other engineers will follow
• Actions result in the achievement of customer, operational, program or service objectives
• Proactively improves existing structures & processes
• Exercises judgement in reconciling diverse and competing priorities (time, quality, complexity risk) to identify optimal solutions to problems
• Notices patterns and condenses repetition into densely meaningful generalized solutions
• Collaborates with management to set/improve standards for engineering rigor
• Trusted to represent PayPal, Inc to the outside world via interactions with partners, customers, or industry organizations

Expected Qualifications:

• Minimum of 8 years of relevant work experience and a Bachelor's degree or equivalent experience.

• Collaborate with cross-functional teams—Backend Engineers, Product Managers, and Partner Developers—to rapidly build and deploy AI-native applications and solutions.
• Develop and maintain both front-end interfaces (e.g., React, Next.js) and backend services (e.g., Node.js, Python) with a strong focus on scalability and performance.
• Create connectors to various content and collaboration tools (e.g., Jira, Slack, Git) by leveraging their specific API endpoints.
• Implement robust engineering solutions and generative AI applications using best practices in software design, cloud architecture, and DevOps.
• Utilize prompt engineering techniques and optimize LLM calls to improve response times, accuracy, and application-specific needs.
• Stay current with emerging trends in AI, including Large Language Models, RAG concepts, and prompt engineering, proactively experimenting and integrating these into production systems.

Preferred Qualifications:
• A Master’s or Ph.D. degree in Computer Science or a closely related field.
• Minimum 6 years of relevant software engineering experience, including at least 2 years in building AI-centric applications or solutions.
• Proven background in full stack development with front-end frameworks (React, Next.js, Electron) and backend technologies (Node.js, Python) along with familiarity in TypeScript and JavaScript.
• Hands-on experience with Generative AI concepts such as LLM integrations, RAG (Retrieval-Augmented Generation), MCP Protocol, and prompt engineering.
• Strong proficiency in version control (Git), code review practices, and testing methodologies.
• Advanced communication skills to clearly present complex AI concepts to technical and non-technical stakeholders.
• Proven ability to learn and adapt quickly to new tools, libraries, and frameworks in the AI/ML ecosystem.
• A proactive mindset with a passion for continuous learning and research in AI-driven technologies.

Travel Percent:

The total compensation for this practice may include an annual performance bonus (or other incentive compensation, as applicable), equity, and medical, dental, vision, and other benefits. For more information, visit .

The US national annual pay range for this role is $152,500 to $262,350

Our Benefits:

Any general requests for consideration of your skills, please