Abp Framework Development Team for a medical technology company in Taiwan
How Facile Technolab helped Medical Device CTO Reduced Diagnostic Errors by 25% with Custom SaaS on Blazor & Azure.
Read Full Case StudyLooking to hire AI engineers who can add practical AI features to your ASP.NET Core and Azure applications? We provide experienced AI engineers for .NET who work inside the Microsoft ecosystem not separate Python-only teams. Our AI engineers help startups and mid-sized businesses integrate Azure OpenAI, RAG systems, AI agents, and intelligent automation directly into existing .NET applications so features reach production faster and remain maintainable.





Most AI talent is Python-first. When your core systems already run on ASP.NET Core and Azure, this creates unnecessary complexity, extra infrastructure, and long-term maintenance challenges.
Hiring AI engineers for .NET gives you:
Our AI engineers typically bring hands-on experience with:
Hire AI engineers for .NET when you need to:
A senior AI engineer who works as an extension of your team on an ongoing basis.
Fixed-scope engagement to design and deliver specific AI capabilities.
Focused support to add AI features into existing ASP.NET Core applications.
Senior C# engineers for backends, APIs, desktop tools, microservices, and complex business logic.
Build chat interfaces, content generation, summarization, and intelligent assistants powered by Azure OpenAI Service.
Create accurate, citation-backed document Q&A and knowledge systems using Azure AI Search and .NET.
Develop multi-step AI agents that can plan, call tools, and take actions across your existing systems.
Add practical AI capabilities to current ASP.NET Core applications without rewriting your architecture.
Automate document processing, data extraction, and workflow intelligence using Azure AI services.
Not every AI initiative needs a large research team or a separate Python stack. Many companies get better results by hiring AI engineers who can work directly inside their existing ASP.NET Core and Azure applications. This approach is especially effective when you want practical features delivered quickly and maintained as part of your current systems.
We measure success by long-term partnerships, not one-off projects. With 97% client retention, 85% of new work coming from referrals, 100% project delivery, and 31 verified reviews, our clients stay with us because we consistently deliver practical results on Microsoft .NET and Azure.
Whether you need a dedicated AI engineer or support for a specific feature, we can help you move from idea to production without unnecessary complexity. Tell us about your current systems and goals we will recommend the right approach and match you with AI engineers experienced in both .NET and modern AI.

We follow a clear, low-friction process designed for teams that already run ASP.NET Core and Azure applications. Our goal is to move from conversation to productive work quickly, while ensuring the AI features we deliver fit your architecture and business priorities.
1. Understand Your Current Setup
We begin by reviewing your existing .NET applications, Azure environment, data sources, and technical constraints. This helps us identify what is already in place and where AI can create the most value without unnecessary complexity.
2. Identify High-Impact Opportunities
Together we define the specific problems worth solving whether that is document Q&A, intelligent search, process automation, or AI agents. We focus on practical use cases that can deliver measurable results rather than experimental ideas.
3. Define the Approach and Scope
We propose a clear technical approach, recommended tools (such as Azure OpenAI, RAG, or Microsoft Agent Framework), timeline, and engagement model. You get transparency on what will be built and how it will integrate with your systems.
4. Assign the Right AI Engineers
We match you with AI engineers who have hands-on experience in both modern AI techniques and production .NET development. They work as an extension of your team or deliver defined features, depending on the model you choose.
5. Build, Integrate, and Deliver
Our engineers implement the features, integrate them into your ASP.NET Core applications, and ensure they meet production standards for security, performance, and maintainability. We prioritize clean code and clear documentation so your team can take ownership going forward.
Most AI talent is Python-first. When your systems already run on ASP.NET Core and Azure, that creates extra complexity. We provide AI engineers who work natively inside the Microsoft ecosystem, so you get practical AI features that integrate cleanly, stay maintainable, and reach production faster.

Explore flexible ways to work with Facile Technolab. Whether you want to form a long-term technology partnership, hire dedicated developers, leverage our products, or download practical guides we provide the support and resources to help you move faster with confidence.

Guides and checklists we have put together for teams doing their homework from choosing an engagement model to getting your architecture before launch. The resources you actually need to make a decision.
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Stop patching talent gaps project by project. As your offshore development partner, we bring a dedicated Microsoft-focused team into your workflow access to skilled engineers, faster time-to-market, and a working relationship built for the long term, not a one-off contract.
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Facile Technolab helps businesses build, modernize, and scale software with experienced developers, practical technology solutions, and flexible engagement models.
About Facile Technolab → Talk to Us →Real feedback from teams who have worked with us on .NET, Azure, and practical AI projects. These testimonials reflect the quality of our engineering, communication, and long-term partnership approach.
" Facile Technolab Pvt Ltd's work is now in use by more than 20 individuals, reflecting its great quality and usability. The team provides daily updates and communicates clearly and proactively. The client commends the team's flexibility, professionalism, and keen understanding of the requirements. "
" Facile Technolab Pvt Ltd delivered a fully-functional solution that met the client's standards and expectations. Leading a structured approach, the team managed their tasks well and delivered on time. Their transparency, top-tier customer support, and enthusiasm were hallmarks of their work. "
" The app is still in development, but the client is at a great point right now thanks to Facile Technolab Pvt Ltd. The team has improved the models and made them faster, and they’ve stood out for their responsiveness and cooperative approach. They communicate well via WhatsApp and Microsoft Teams. "
" Thanks to Facile Technolab Pvt Ltd's engagement, the client is able to demonstrate a functional prototype to their end client that has received positive feedback. The team has executed an effective project management style. They are prompt and communicative in the partnership. "
" So far, Facile Technolab Pvt Ltd has been meeting the deliverables. The team uses Slack to communicate and Trello for documentation. The client has been impressed by the team's professionalism and friendly approach. "
" While the project is still ongoing, the client is working well with Facile Technolab Pvt Ltd. The vendor is highly responsive with a collaborative mindset. "
" The vendor's efforts are critically important to the business. A reliable, proactive team, Facile Technolab Pvt Ltd collaborates seamlessly with internal stakeholders. Their deep understanding of Western culture has facilitated their coordinations with other employees based around the world. "
" The work provided by Facile Technolab Pvt Ltd satisfied all project stakeholder requirements, helping to present a working MVP to their third-party client. Though the business did not take off in the end, their team provided all of their work within relevant budget and timeline constraints. "
" The project met the expectations of the third-party client, leading to further business for the client. Facile Technolab Pvt Ltd establishes communication channels to ensure an effective workflow. The team is talented, trustworthy, and personable. "
" Facile Technolab Pvt Ltd successfully filled the gaps in the client’s internal team with talented resources. They not only provided qualified people but also managed tasks well — all projects were delivered on time. The partners communicated mainly via virtual meetings, email, and messaging apps. "
" Facile Technolab Pvt Ltd has completed some of the deliverables, which please the client. They are always understanding and available to coordinate the project. Moreover, they follow agile methodology, which impresses the client the most. "
" The client had been able to put their new development projects to work because of Facile Technolab Pvt Ltd. Throughout the partnership, they used agile technology with daily calls on Skype. Their most admirable service had been their good communication process. "
How Facile Technolab helped Medical Device CTO Reduced Diagnostic Errors by 25% with Custom SaaS on Blazor & Azure.
Read Full Case Study
How Facile Technolab built a digital legal search SaaS platform for an Australian startup - ASP.NET Core, Azure, and full-stack delivery from MVP to launch.
Read Full Case Study
How Facile Technolab built a cruise management SaaS for a Croatian travel client connecting ship owners, agents, and passengers on a single platform.
Read Full Case StudyHow to migrate ASP.NET Web Forms to Blazor page lifecycle mapping, control conversion, state management, authentication, and phased migration strategy.
How to build a document Q&A system on ASP.NET Core and Azure OpenAI. RAG architecture, Azure AI Search, chunking strategy, citations, and real cost estimates.
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An AI engineer for .NET designs, builds, and integrates practical AI features into ASP.NET Core and Azure applications. This typically includes Azure OpenAI integrations, RAG-based document systems, AI agents, semantic search, and intelligent automation that work inside your existing .NET architecture.
Most AI developers work primarily in Python. AI engineers for .NET specialize in delivering AI capabilities within the Microsoft ecosystem, so features integrate cleanly with your current ASP.NET Core applications, security model, and deployment processes.
Yes. Our engineers are experienced in adding AI features to existing .NET applications without requiring a full rewrite. They focus on clean integration, maintainability, and alignment with your current architecture.
They commonly work with Azure OpenAI Service, Microsoft Agent Framework, Azure AI Search (for RAG), ML.NET, document intelligence services, and related Azure AI tools always with a focus on production-ready implementation.
We offer both. You can hire a dedicated AI engineer to work as an extension of your team, or engage us for specific AI feature development and integration projects.
In most cases, we can introduce a suitable AI engineer within a few days after understanding your requirements and technical environment. Exact timelines depend on the complexity of the role and availability.
Yes. We prioritize clean, well-structured implementations that follow standard .NET practices so your internal team can understand, extend, and maintain the features over time.
Yes. We support greenfield AI feature development as well as enhancing or stabilizing AI capabilities already present in your applications.
Yes. We work with startups building AI-powered products and mid-sized businesses that want to add practical AI to existing operations or software systems.
Share your current technology stack, the problem you’re trying to solve, and the type of support you need. We’ll recommend the right engagement model and match you with suitable AI engineers for .NET.
Tell us what you’re building or the problem you’re trying to solve. We’ll match you with AI engineers who understand both practical AI and production-grade .NET systems.
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