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PayPal Staff Software Engineer 
India, Tamil Nadu, Chennai 
570179567

17.07.2025

שיתוף

התחבר/י כדי להגיש מועמדות

What you need to know about the role-This is a hands-on role with strategic reach: you’ll design, build, and lead AI-first platforms and services that redefine reliability engineering. You’ll work in a fast-paced, agile environment alongside top-tier engineers, product leads, and business partners to bring meaningful, customer-facing innovation to life.

Your way to

In this role,

As a technical leader in SRE Labs,technology into mission-critical environments.

Your day to day

In yourday to dayyou will

  • Lead the design and development ofGenAI-driven platforms, including intelligent chatbots, AI copilots, and automation tools for Site Reliability use cases.

  • Build and deploy machine learning models in production using technologies like Python, ,LangChain, LLM APIs (OpenAI, Anthropic, Azure OpenAI),

  • Collaborate cross-functionally with product, infrastructure, and SRE teams to translate reliability pain points into scalable AI/ML-powered solutions.

  • Develop scalable front-end and backend services using React.js and Node.js to build user-facing AI-powered applications and APIs.

  • Drive system design and architecture decisions that ensure scalability, reliability, and maintainability of AI platforms.

  • GenAIstrategy and engineering standards.

What do you need to bring

  • Bachelor’s orMaster’s degree in Computer Science, Engineering, or a related field—or equivalent practical experience.

  • + years of experience designing, developing, and deploying AI/ML solutions, with a strong emphasis on LLMs, chatbots, and scalable architecture.

  • in Python, React.js, and Node.js, with hands-on experience building scalable applications and services.

  • -onexpertisewithLangChain,,lang graph,RESTful APIs and cloud platformsincluding deploying models in production.

  • understanding of system design principles with experience architecting large-scale, fault-tolerant distributed systems.

  • knowledge of ML pipelines, prompt engineering, retrieval-augmented generation (RAG), and integration of LLMs with enterprise systems.

  • proven ability to lead cross-functional projects, mentor peers, and influence technical direction while working in Agile, fast-paced environments.

  • You have good analytical and problem-solving skills.

  • Strong verbal and written communication skills.

  • Flexibility and willingness to learnnew technologiesand adapt quickly.


Our Benefits:

Any general requests for consideration of your skills, please

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