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Artificial Intelligence Engineer
Skills
.NET Core.NET FrameworkASP.NET MVCC#DockerGraphqlKubernetes
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- Strong proficiency in C# .NET Core and ASP.NET MVC or Web API
- Experience with AI integration
- Knowledge of GenAI concepts including LLMs embeddings prompt engineering and fine-tuning
- Familiarity with microservices Docker and Kubernetes
- Experience with databases such as SQL Server Cosmos DB or NoSQL
- Understanding of event-driven systems such as Kafka or Service Bus
- Experience in API design GraphQL or gRPC
- Strong problem-solving and analytical skills
- Experience with vector databases
- Knowledge of LangChain Semantic Kernel or AI orchestration tools
- Understanding of MLOps practices
- Experience in domain-driven design (DDD)
Nice to have
- AI native
- Analytical
- Problem solver
- Microservices mindset
- API focused
Day to day
- Design and build full-stack .NET applications with AI-native capabilities and modern web APIs.
- Integrate GenAI features such as LLMs embeddings prompt engineering and fine-tuning into scalable enterprise solutions.
- Work with microservices containers cloud-ready deployment patterns and event-driven architectures to deliver robust systems.