At a Glance
- Tasks: Support major AI migration projects and develop custom orchestration layers.
- Company: B2B healthcare SaaS company with a focus on innovation.
- Benefits: Competitive pay of £400/day, remote work, and contract flexibility.
- Other info: Dynamic role for problem solvers in cloud-native environments.
- Why this job: Work directly with the CTO on impactful AI systems used by thousands.
- Qualifications: Experience in C#, .NET Core, Azure OpenAI, and production AI systems.
The predicted salary is between 96000 - 96000 € per year.
Currently supporting a B2B healthcare SaaS company who are looking for a strong AI-focused .NET Engineer to support a major migration from Azure OpenAI "On Your Data" into a custom RAG orchestration layer.
You'll be working directly with the CTO on production AI systems used by thousands of end users, with a strong focus on performance, grounded responses and AI safety.
Key experience:- C# / .NET Core
- Azure OpenAI
- Azure AI Search
- RAG pipelines
- Azure DevOps / CI/CD
- Production AI systems
- Cloud-native / microservices environments
Interesting role for someone who enjoys solving real engineering problems around AI at production scale.
If you're interested, please apply!
.NET/AI Engineer employer: MindMatch
Join a forward-thinking B2B healthcare SaaS company that values innovation and collaboration, offering a dynamic remote work environment. As a .NET/AI Engineer, you'll have the opportunity to work closely with the CTO on cutting-edge AI projects, ensuring your contributions directly impact thousands of users. With a strong emphasis on employee growth, performance-driven culture, and competitive compensation, this role is perfect for those looking to make a meaningful difference in the healthcare sector.
StudySmarter Expert Advice🤫
We think this is how you could land .NET/AI Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech world, especially those in AI and .NET. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those involving Azure OpenAI and RAG pipelines. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common AI and .NET questions. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing passionate candidates like you!
We think you need these skills to ace .NET/AI Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with C# and .NET Core, as well as any work you've done with Azure OpenAI. We want to see how your skills match the job description, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Tell us why you're excited about this role and how your background in AI and cloud-native environments makes you a perfect fit. Keep it engaging and personal – we love to see your personality!
Showcase Your Problem-Solving Skills:Since this role involves solving real engineering problems, include examples of challenges you've faced in previous roles and how you tackled them. We’re keen to see your thought process and how you approach complex issues.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at MindMatch
✨Know Your Tech Stack
Make sure you’re well-versed in C# and .NET Core, as these are crucial for the role. Brush up on Azure OpenAI and Azure AI Search, and be ready to discuss how you've used these technologies in past projects.
✨Showcase Your Problem-Solving Skills
Prepare examples of real engineering problems you've tackled, especially those related to AI at production scale. Highlight your experience with RAG pipelines and how you approached challenges in cloud-native or microservices environments.
✨Understand the Company’s Mission
Research the B2B healthcare SaaS company and understand their goals. Be ready to discuss how your skills can contribute to their mission, particularly in enhancing AI safety and performance for end users.
✨Engage with the CTO
Since you'll be working directly with the CTO, prepare thoughtful questions that show your interest in their vision for AI systems. This will demonstrate your enthusiasm and help you stand out as a candidate who is genuinely invested in the role.
