Software Engineers (.NET, C#, Blazor, AI): If you’re the kind of engineer who doesn’t just use AI, but knows how to embed it properly into real-world systems, this one’s worth your time.
A large, technology-focused enterprise is seeking a Senior-level Software Engineer who can architect and build intelligent, production-grade solutions. This is a hands-on role for someone comfortable operating at depth; not just experimenting with models, but deploying secure, explainable AI features into live enterprise environments.
Here’s how you’ll be adding value:
- Integrating AI capabilities into established enterprise platforms
- Design and ship secure, scalable, cloud-native applications
- Improve ops efficiencies (automation, intelligent agents, etc.)
- Balance innovation with governance, compliance and risk awareness
- Contribute to distributed architectures using APIs and Microservices
Key requirements:
- 5+ years in software engineering (.NET / C# + other OOP languages)
- At least 2 years’ practical exposure to AI implementation
- Solid frontend capability (Blazor)
- Cloud-native deployment experience (AWS, Azure)
- DevOps fluency; GitHub, Azure DevOps, Docker, YAML-driven pipelines
- RESTful API design and integration
- Solid CI/CD, automated testing & secure coding standards experience
- Experience deploying AI-powered features into production
- Know-how in using of AI for development acceleration, automation, etc.
- Exposure to regulated or governance-heavy industries is beneficial
This isn’t a theoretical AI role. The ideal Software Engineer must have experience in the afore-mentioned.
We’d like to discuss this further if you’re open to work and the above is in line with your skills, competencies, qualifications and experience.
Desired Skills:
- DotNet
- CSharp
- AIEngineering
- CloudNative
- Microservices
- DevOps
- EnterpriseArchitecture
Desired Work Experience:
- 5 to 10 years
Desired Qualification Level:
- Degree