I will build ai powered backend microservices using dotnet


Informazioni su questo servizio
Looking for a robust AI backend or scalable AI microservices built with ASP.NET Core?
I design and build enterprise-grade backend systems and AI microservices using C#, .NET, and modern LLMs. Whether you need an intelligent assistant, RAG pipeline, or a complete microservices architecture, I deliver clean, production-ready code.
What I Deliver:
- AI & LLM Integration: Seamless OpenAI, Azure OpenAI, Claude, and custom LLM API integration.
- RAG & Vector Search: Context-aware RAG using Semantic Kernel or LangChain.NET with Pinecone, Qdrant, or pgvector.
- Microservices Architecture: High-throughput REST APIs built with Clean Architecture.
- Event-Driven Systems: Asynchronous messaging pipelines using RabbitMQ or Kafka.
- Databases & ORM: SQL Server, PostgreSQL, or MongoDB with EF Core & Dapper.
- Production Ready: Docker containerization, Swagger API documentation, and unit tests.
Why Choose Me?
- Enterprise software engineer experienced in scalable, distributed architectures.
- 100% clean code following SOLID principles.
Please contact me before ordering to discuss your project requirements!
Scopri di più su Mohsin Khan
Software Engineer
- DaBangladesh
- Membro daott 2026
- Tempo di risposta medio1 ora
Lingue
Inglese
FAQ
Are AI API costs (OpenAI, Anthropic, Azure) or cloud hosting fees included?
No. You must provide your own API keys and cloud credentials. All usage, token, and cloud hosting fees are paid directly to your respective service providers.
Does this gig include a frontend UI or mobile application?
No. This gig covers backend APIs and microservices only. You will receive fully documented Swagger/Postman endpoints for testing. If you need a frontend (Next.js/React) or desktop app, please request a custom offer.
What is covered under "Revisions"?
Revisions include minor tweaks, bug fixes, or adjustments strictly within the agreed project scope. They do not include new endpoints, architectural changes, or scope additions after work has started.
Can I place an order directly without contacting you first?
Please message me first. AI microservices require specific architecture and dependency planning. Discussing your requirements upfront ensures accurate pricing, timelines, and prevents cancellations.
Can you guarantee 100% factual accuracy from the AI model?
I implement robust RAG pipelines, system guardrails, and optimized prompts, but LLM responses are probabilistic and depend on the underlying model and your reference data. Zero-hallucination cannot be guaranteed by any developer.
