Level

Wolters Kluwer

Lead Enterprise Software Engineer (IIT / BITS candidates preferred)

AI in this role

claudecopilotclaude-code
prompt-engineeringrag

​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.

How we rate this

Lead Enterprise Software Engineer (IIT / BITS candidates preferred) at Wolters Kluwer rates 41 out of 100 for how much of the daily work is AI. That makes it Uses AI (AI Level 2 of 4). The level is about AI in the job, not seniority.

Classification

Uses AI. An ordinary role that requires AI tools.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Open the description and count.

Prepare for this job

A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.

Skills and AI tools this role asks for

Prompt EngineeringRAGClaudeCopilotClaude Code

Questions you could be asked

  1. How do you structure and test a prompt to get consistent output from a language model?
  2. How would you design a retrieval step so the model answers from real data instead of guessing?
  3. What are the limits of Claude that you've run into, and how did you work around them?
  4. What's a project where you used Copilot hands-on?
  5. Walk me through how you've used Claude Code in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Prompt Engineering, RAG, Claude, Copilot, and Claude Code. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
  • Put the AI tool in a bullet point about what you did, not just in a skills list — this role treats it as a required part of the job.

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