Enterprise Software Engineer (Python, Azure/AWS, Gen AI)

AI in this role

openaiazure-openai

llm-integrationai-agentsai-safety

Minimum 6 years of experience in enterprise software development and cloud development:

Experience with FastAPI/Django, React/TypeScript, and GraphQL.
Knowledge of event-driven architectures (e.g., SNS/SQS, Azure Service Bus), streaming (Kafka/Kinesis), and pub/sub patterns.
Familiarity with APM tools and SLO/SLA design; capacity and performance testing at scale.
Exposure to AI/ML services (e.g., Azure OpenAI) and safe LLM integration patterns.
Contributions to shared Terraform modules and internal design standards.
Experience with automated deployments utilizing continuous integration and continuous delivery (CI/CD) tools (such as Azure DevOps, GitLab, GitHub, Jenkins or other well-known tools)
Experience with release management, product rollouts, and service operationalization
Solid and proven experience with design patterns, SOLID Principles, especially cloud resiliency patterns, working in an agile environment with an SDLC like Scrum, SaFE, etc.
Being able to write scalable production-grade code leveraging Cloud software development kit (SDKs) and Cloud APIs in (at least) one of the following programming languages: Python, Java, NodeJS or Ruby

Advanced Technology Adoption and Utilization:
- AI Tool Proficiency: Evaluate and optimize AI tool usage for team efficiency and productivity
- AI Output Validation: Establish validation standards and review processes for AI-generated code
- Responsible AI Usage: Lead responsible AI initiatives and establish team best practices
- Agentic Workflow Design: Design and optimize AI agent workflows for team efficiency
Having a wide range of experiences and advanced technical acumen serving as an advisor to management
Communicating difficult concepts and influencing others to adopt a different point of view
Enthusiasm for staying abreast of industry trends and a keen eye for product improvements

Soft Skills:

Team working
A logical approach to work
The ability to prioritize tasks/organize work
Excellent oral, written and interpersonal English communication skills including strong presentation skills.
Availability to work on extra time
Problem-solving skills
Patience
Meticulous attention to details

Education:

Bachelor's degree in Computer Science, Information Systems, or a related field or equivalent experience
Required: Advanced/Professional Technical Certificate in Azure, AWS or Kubernetes

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

Enterprise Software Engineer (Python, Azure/AWS, Gen AI) at Wolters Kluwer rates 44 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.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ 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

LLM IntegrationAI AgentsAI SafetyOpenAIAzure OpenAI

Questions you could be asked

How have you integrated a large language model into a production application?
How do you decide when an AI agent can act on its own versus asking for approval first?
How do you think about the risk of an AI system in this kind of role failing silently?
What's a project where you used OpenAI hands-on?
Walk me through how you've used Azure OpenAI in your day-to-day work.

Adapt your resume

List these exact terms on your resume: LLM Integration, AI Agents, AI Safety, OpenAI, and Azure OpenAI. 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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