Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and deliver AI-powered features in a modern .NET environment.
- Company: Join a forward-thinking tech company embracing AI as an engineering discipline.
- Benefits: Hybrid working, dedicated training budget, and clear career progression opportunities.
- Other info: Collaborative team culture focused on quality and innovation.
- Why this job: Make a real impact by shaping AI adoption across the organisation.
- Qualifications: 5+ years in software engineering with strong C#/.NET and AI integration experience.
The predicted salary is between 70000 - 90000 £ per year.
We are looking for a Senior Applied AI Engineer to design and deliver production-grade AI-powered features within a modern .NET product environment. This is a hands-on engineering role focused on applying AI in real systems, not training models. You will work with commercial AI platforms such as Anthropic Claude, AWS Bedrock, and OpenAI to build reliable, scalable, and observable features that ship to users. You will also play a key role in shaping how AI is adopted across the engineering team, setting standards, introducing tooling, and leading by example through high-quality, AI-assisted development practices. This role suits someone who has already successfully integrated AI into production products and can bring proven patterns into a growing team.
What You’ll Do
- Design and build AI-powered product features within a C# / .NET ecosystem
- Integrate commercial AI APIs into production systems with a focus on reliability, scalability, and cost control
- Establish and promote best practices for applied AI engineering across the codebase
- Lead by example using AI-assisted development workflows
- Support and mentor engineers adopting tools such as Claude Code or Cursor
- Build systems with strong observability, logging, and guardrails
- Contribute to clean, well-structured, and versioned RESTful APIs
- Collaborate closely with product and engineering teams to deliver user-facing AI capabilities
Must Have
- 5+ years of commercial software engineering experience
- Strong C# / .NET (Core) experience
- Proven experience designing and shipping AI integrations in production
- Strong experience integrating paid AI APIs (e.g. OpenAI, Anthropic, Bedrock)
- Demonstrated ability to set patterns and standards adopted by other engineers
- Hands-on experience introducing AI-assisted development tools into a team
- Strong REST API design skills (clean, versioned, observable)
- Solid SQL experience (MariaDB or MySQL)
- A strong focus on quality, resilience, and maintainability
Nice to Have
- Experience with AWS (EC2, RDS, Lambda, S3, Bedrock)
- Practical experience with prompt design, iteration, and evaluation
- Familiarity with structured outputs, tool use, or function calling
- Frontend exposure (JavaScript, Vue, Nuxt 3)
- Experience working in microservices or distributed systems
- Familiarity with Shape Up methodology
- Awareness of secure-by-design principles (e.g. ISO 27001)
Not the Right Fit If You
- Focus on training or fine-tuning models rather than applying them
- Come from a purely data science or research background
- Prefer Python-heavy environments and don’t want to work in .NET
- Are sceptical of AI-assisted development workflows
- Haven’t worked with commercial AI APIs in production
- Are looking for a strategy-only or non-hands-on role
Why Join Us
- Work on real-world AI features used in production
- Be part of a team where AI is treated as an engineering discipline, not a buzzword
- Influence how AI is adopted across the organisation
- Hybrid working (2 days in the office)
- Dedicated training and development budget
- Clear opportunities for career progression
If you want to build high-quality, production AI systems and help shape how modern engineering teams apply AI in practice, we’d love to hear from you.
Senior Applied AI Engineer (.NET) in Manchester employer: Adria Solutions
Contact Detail:
Adria Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Applied AI Engineer (.NET) in Manchester
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your AI projects, especially those involving .NET and commercial AI APIs. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to AI integration and .NET development. Practice coding challenges and be ready to discuss your past experiences with AI-powered features.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Senior Applied AI Engineer (.NET) in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with C# and .NET, especially any AI integrations you've worked on. We want to see how your skills align with the role, so don’t be shy about showcasing your relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to tell us why you’re the perfect fit for this role. Share specific examples of how you've applied AI in production systems and how you’ve influenced best practices in your previous teams.
Showcase Your Problem-Solving Skills: In your application, highlight instances where you've tackled challenges in AI integration or software engineering. We love seeing how you approach problems and the solutions you've implemented in real-world scenarios.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you’re keen to join our team!
How to prepare for a job interview at Adria Solutions
✨Know Your AI Tools
Familiarise yourself with the commercial AI platforms mentioned in the job description, like Anthropic Claude and AWS Bedrock. Be ready to discuss how you've integrated these tools into production systems and share specific examples of your work.
✨Showcase Your C# and .NET Skills
Prepare to demonstrate your strong C# and .NET experience. Bring along examples of projects where you've designed and built AI-powered features, focusing on reliability and scalability. This will show that you can hit the ground running.
✨Discuss Best Practices
Be prepared to talk about the best practices you've established in previous roles for applied AI engineering. Highlight how you've led by example and mentored others in adopting AI-assisted development workflows, as this aligns with the role's expectations.
✨Emphasise Collaboration
Since collaboration is key in this role, think of examples where you've worked closely with product and engineering teams. Discuss how you contributed to delivering user-facing AI capabilities and how you ensured clean, well-structured APIs.