Siemens Off Campus Drive 2025 – Graduate Trainee Engineer

Graduate Trainee Engineer: Your success is grounded in: We are seeking a motivated and technically curious Pega Developer (Fresher) to join our team. This role is ideal for recent graduates with a strong foundation in computer science, hands-on experience with the Pega Platform, and exposure to AI/ML technologies. The candidate will be involved in designing and developing low-code solutions, contributing to intelligent automation initiatives, and supporting digital transformation projects. Assist in the development and configuration of applications using the Pega Platform.

Work on core Pega components including: Case types, Decision rules, Flows, UI rules, and Validations. Support the implementation of business logic and workflows aligned with client requirements. Collaborate with senior developers and business analysts to understand functional specifications. Contribute to AI-integrated projects using tools like LangChain, Gemini API, and ChatGPT API. Participate in testing, debugging, and deployment activities. Learn and apply best practices in low-code development and agile methodologies.

Bachelor’s degree in computer science or related field (B.Tech preferred). Academic or project experience with Pega Platform. Exposure to Python, Flask, Streamlit, and HTML/CSS. Familiarity with Generative AI tools and LLMs (LangChain, Gemini API, etc.). Understanding of basic machine learning concepts and data handling. Knowledge of Pega Constellation and Pega GenAI. Experience in building web applications and working with real-time datasets. Certifications in Python, Data Analytics, or Power BI are a plus. Participation in hackathons or technical competitions. Strong problem-solving and analytical thinking. Self-driven and eager to learn new technologies. Good communication and presentation skills. Ability to work collaboratively in a team environment.