\\\\We help the world run better\\\\ At SAP, we keep it simple: you bring your best to us, and we'll bring out the best in you. We're builders touching over 20 industries and 80% of global commerce, and we need your unique talents to help shape what's next. The work is challenging but it matters. You'll find a place where you can be yourself, prioritize your wellbeing, and truly belong. What's in it for you? Constant learning, skill growth, great benefits, and a team that wants you to grow and succeed. \\\\AI Developer-\\\\ \\\\Product, Data & Technology - Tools India\\\\ \\\\What you'll do\\\\ As an AI Developer, you will play a key role in building innovative AI-powered applications to solve complex business challenges. Your responsibilities will include: \\+ Designing and developing AI-powered applications leveraging Large Language Models (LLMs), AI agents, Model Context Protocol (MCP), Agent-to-Agent (A2A) protocol. \\+ End-to-end responsibility for development, testing, performance, security, scalability and user experience of AI applications from prototyping to production. \\+ Collaborating with cross-functional teams to integrate AI capabilities into existing applications and workflows. \\+ Staying up-to-date with the latest AI trends and tools and recommending their adoption at SAP. \\\\What you bring\\\\ \\+ Bachelors or Master's degree in Computer Science, Artificial Intelligence, or a related field. \\+ 4 years of IT experience. \\\\Must have skills\\\\ \\+ Programming skills in Python \\+ Expertise in developing AI-powered applications \\+ Large Language Models (e.g., OpenAI, Hugging Face, LangChain, LLaMA) \\+ Agentic AI concepts and protocols (Model Context Protocol, Agent-to-Agent protocol) \\+ Machine Learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn). \\\\Nice to have skills\\\\ \\+ Knowledge of LLM architectures \\+ Lifecycle management for AI models (training, validation, deployment, and monitoring) \\+ DevOps / AIOps practices \\\\Meet your team\\\\ \\\\Product, Data & Technology - Tools India\\\\ is responsible for defining, designing & developing applications that support product development at SAP. We are the team responsible for several innovative applications including: \\+ \\\\Hyperspace\\\\ (SAPs official internal development platform) \\+ \\\\SAP Jira\\\\ (SAPs official backlog management tool with over 100,000 end-users) \\+ \\\\Lucid Capacity\\\\ (simplified capacity management for development) \\+ \\\\SAP Transformation Navigator\\\\ (provides guidance to SAP customers on charting their path to an intelligent enterprise. Winner of the 2017 Hasso Plattner Award) \\+ \\\\AI Pair Programming with GitHub Copilot\\\\ We aim for excellence in our work and prioritize developing strong professional relationships and having fun at work. With teams in Walldorf, Palo Alto, Sofia, Paris and Bangalore, we offer an open, collaborative and international environment for continuous learning and career development! \\\\Bring out your best\\\\ SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best. \\\\We win with inclusion\\\\ SAPs culture of inclusion, focus on health and well-being, and flexible working models help ensure that everyone regardless of background feels included and can run at their best. At SAP, we believe we are made stronger by the unique capabilities and qualities that each person brings to our company, and we invest in our employees to inspire confidence and help everyone realize their full potential. We ultimately believe in unleashing all talent and creating a better world. SAP is committed to the values of Equal Employment Opportunity and provides accessibility accommodations to applicants with physical and/or mental disabilities. If you are interested in applying for employment with SAP and are in need of accommodation or special assistance to navigate our website or to complete your application, please send an e-mail with your request to Recruiting Operations Team: . For SAP employees: Only permanent roles are eligible for the SAP Employee Referral Program () , according to the eligibility rules set in the SAP Referral Policy. Specific conditions may apply for roles in Vocational Training. Qualified applicants will receive consideration for employment without regard to their age, race, religion, national origin, ethnicity, gender (including pregnancy, childbirth, et al), sexual orientation, gender identity or expression, protected veteran status, or disability, in compliance with applicable federal, state, and local legal requirements. Successful candidates might be required to undergo a background verification with an external vendor. \\\\AI Usage in the Recruitment Process\\\\ For information on the responsible use of AI in our recruitment process, please refer to our Guidelines for Ethical Usage of AI in the Recruiting Process () . Please note that any violation of these guidelines may result in disqualification from the hiring process. Requisition ID: 439725 \\\| Work Area: Software-Development Operations \\\| Expected Travel: 0 - 10% \\\| Career Status: Professional \\\| Employment Type: Regular Full Time \\\| Additional Locations: #LI-Hybrid

Candidates are required to have a Bachelor's or Master's degree in Computer Science, Artificial Intelligence, or a related field. A minimum of 4 years of IT experience is necessary. Essential skills include proficiency in Python, expertise in developing AI-powered applications, and a strong understanding of Large Language Models such as OpenAI, Hugging Face, LangChain, and LLaMA. Experience with Agentic AI concepts and protocols, including Model Context Protocol and Agent-to-Agent protocol, is also a requirement. Familiarity with Machine Learning frameworks like TensorFlow, PyTorch, and scikit-learn is mandatory.