Senior .NET Developer (AI Savvy)

Senior .NET Developer (AI-Savvy) — Kuala Lumpur

Location: Kuala Lumpur, Malaysia
Experience: 6+ years
Employment Type: Full-time On-site
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About the Role

We are looking for a Senior .NET Developer with 6+ years of hands-on experience building scalable web applications and APIs using C# / .NET. You will work closely with engineering, product, and data/AI stakeholders to deliver AI-enabled features and integrate modern AI capabilities into our platforms.

If you’re strong in backend development and comfortable using AI tools/APIs (e.g., LLMs, embeddings, RAG, automation), we want to hear from you.

Key Responsibilities

• Design, develop, and maintain backend services using C# and .NET.
• Build and optimize REST APIs / microservices with performance, reliability, and security in mind.
• Integrate AI/ML capabilities into applications (e.g., chat/assistant features, document Q&A, summarization, classification, search enhancements).
• Work with AI concepts such as:
  • LLM integration (prompting, function calling, tool usage)
  • Embeddings & vector search
  • RAG (Retrieval-Augmented Generation)
  • Basic evaluation/testing of AI outputs
• Create solutions using Azure/AWS/GCP services (cloud exposure is a plus).
• Collaborate with frontend engineers to define robust API contracts.
• Troubleshoot production issues and improve system observability.
• Participate in architecture discussions and mentor team members (tech lead mindset preferred).

Requirements

• 6+ years of professional experience with .NET (C#).
• Strong knowledge of:
  • ASP.NET Core, Web APIs, async programming
  • SQL (SQL Server preferred) and database design/performance
  • RESTful service design and API versioning
• Experience with at least one of the following:
  • Azure (Functions, App Service, Service Bus, Key Vault, etc.)
  • CI/CD (Azure DevOps, GitHub Actions, pipelines)
• AI/LLM integration experience (hands-on). Examples:
  • Using LLM APIs (OpenAI/Azure OpenAI/Anthropic/etc.)
  • Implementing embeddings + vector database (e.g., Azure AI Search, Pinecone, Weaviate, FAISS)
  • Building RAG pipelines
• Knowledge of security best practices (authentication/authorization, secrets management, OWASP).

Nice to Have

• Exposure to Python for AI services/scripts.
• Experience with message queues, event-driven systems (Kafka, RabbitMQ, Service Bus).
• Familiarity with containerization (Docker) and orchestration (Kubernetes).
• Experience with unit/integration testing and test automation.
• Ability to communicate clearly with technical and non-technical stakeholders.