- Location
- Bengaluru, KA,IN, IN
- Type
- Full-time
- Department
- Engineering
- Source
- Eightfold
Description
products and customers. You’ll develop and test software features, collaborate with product, QA, design, and engineering partners, and help troubleshoot and improve applications in production. This role offers an opportunity to strengthen your software engineering skills while gaining hands-on experience with modern AI/LLM technologies. You may also contribute to AI-assisted product capabilities, developer tooling, and automation as the team expands its use of generative AI.
Job Description: Essential Responsibilities: * Implements tasks within the Software Development Lifecycle (SDLC), receiving structure and oversight from more experienced staff * Follows well-established internal conventions and standard procedures * Understands internal standards & processes an applies them to make technical decisions * Collaborates with peers, manager, and project lead to gain understanding of tasks and review solutions * May contribute to code & design reviews Minimum Qualifications: * 1+ years relevant experience and a Bachelor’s degree OR Any equivalent combination of education and experience. Additional Responsibilities & Preferred Qualifications: * Strong foundation in data structures, algorithms, object-oriented programming, and software engineering fundamentals. * Proficiency in a general-purpose programming language such as Java, Python, C++, JavaScript/TypeScript, or Go. * Familiarity with SQL/NoSQL databases, REST APIs, Git, testing practices, CI/CD concepts, and basic system design. * Exposure to LLM APIs or models such as OpenAI, Anthropic Claude, Gemini, Llama, or Mistral. * Experience or project exposure involving prompt engineering, retrieval-augmented generation (RAG), or agentic workflows. * Familiarity with tools or frameworks such as LangChain, LlamaIndex, Hugging Face Transformers, or vector databases. * Experience using AI coding assistants such as GitHub Copilot or Claude Code. * Coursework, internships, hackathons, or personal projects involving machine learning, NLP, or generative AI are a plus. * Basic understanding of concepts such as embeddings, fine-tuning, or model evaluation is beneficial; deep ML specialization is not required. * Strong problem-solving, communication, collaboration, and learning skills. Additional Responsibilities * Develop, test, debug, and maintain production software features and modules. * Collaborate with Product, QA, Design, and engineering partners to deliver features end-to-end. * Create unit and integration tests that support reliable, maintainable software. * Help troubleshoot production issues and identify opportunities to improve application reliability. * Contribute to internal developer tooling and automation, including AI/LLM-assisted workflows where applicable. * Participate in Agile practices, including sprint planning and daily stand-ups. * Explore emerging technologies and identify practical opportunities to apply AI/LLM capabilities to engineering problems. Subsidiary: PayPal Travel Percent: 0 PayPal does not charge candidates any fees for courses, applications, resume reviews, interviews, background checks, or onboarding. When making an application directly, we will never ask you to share passwords, one-time passcodes (OTP), or verification codes. Any such request is a red flag and likely part of a scam. All communication regarding your application will come from official PayPal email domains. If you suspect fraudulent activity, please report it immediately. To learn more about how to identify and avoid recruitment fraud please visit https://careers.pypl.com/contact-us. For the majority of employees, PayPal's balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits: At PayPal, we’re committed to building an equitable and inclusive global economy. And we can’t do this without our most important asset-you. That’s why we offer comprehensive, choice-based programs, to support all aspects of personal wellbeing—physical, emotional, and financial—delivering meaningful value where it matters most. We strive to create a flexible, balanced work culture with a holistic approach to benefits, including generous paid time off, healthcare coverage for you and your family, and resources to create financial security and support your mental health. Who We Are: Click Here to learn more about our culture and community. Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at [email protected]. Belonging at PayPal: Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. Any general requests for consideration of your skills, please Join our Talent Community. We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don’t hesitate to apply.