Lead Enterprise Software Engineer (IIT / BITS candidates preferred)

​RESPONSIBILITIES - Architect and implement Web APIs using Python, ensuring high scalability, security, and performance in line with industry best practices.  Design, develop, test, and release custom Python SDKs by following a full SDLC, including comprehensive documentation and version control.  Develop, deploy and manage Python applications on Azure, using services such as Azure Functions and App Service.  Develop innovative AI solutions using Python, leveraging advanced techniques with LLMs, RAG, and Prompt Engineering to solve complex problems and explore new approaches using AI technologies.  Ensure the performance, quality, and responsiveness of applications.  Identify and correct bottlenecks and fix bugs to improve application performance.  Collaborate with cross-functional teams to define, design, and ship new features.  Stay updated with the latest industry trends and technologies in Python development and AI.  Document development processes, code changes, and best practices for future reference and training purposes.  Mentor junior developers to improve their skills and understanding of best practices in Python development.   Experience:  Seasoned experience working in Github copilot, claude code or other ai coding environments.  Proven experience in developing Web APIs using Python.  Strong expertise in creating and managing custom SDKs.  Minimum 6 – 8 months of Generative AI experience  Minimum 2-4 years of AI/ML experience on the Azure / AWS platform  Minimum 2 – 4 years of software development experience  Proficiency in guiding developers on SDK consumption and best practices.  Experience with Azure services, including deployment and management of Python apps.  Solid understanding of AI technologies and practical experience with LLMs, RAG, and Prompt Engineering.  Excellent problem-solving skills and attention to detail.  Able to articulate complex engineering challenges to fellow engineers and partner teams  Strong communication skills and ability to work collaboratively in a team environment.  Our Interview Practices To maintain a fair and genuine hiring process, we kindly ask that all candidates participate in interviews without the assistance of AI tools or external prompts. Our interview process is designed to assess your individual skills, experiences, and communication style. We value authenticity and want to ensure we’re getting to know you—not a digital assistant. To help maintain this integrity, we ask to remove virtual backgrounds and include in-person interviews in our hiring process. Please note that use of AI-generated responses or third-party support during interviews will be grounds for disqualification from the recruitment process. Applicants may be required to appear onsite at a Wolters Kluwer office as part of the recruitment process.