Senior .NET AI Engineer

New
Opportunity to work remotely within PolandFull-TimeSenior
Salary not disclosed
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Job Details

Languages
En B2
Experience
5+ years
Required Skills
C#CI/CDMicroservicesPrompt Engineering

Requirements

  • Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, or related field
  • 5+ years of professional software development experience, with a heavy emphasis on the .NET/C# ecosystem
  • Demonstrated hands-on experience integrating and leveraging AI technologies (LLMs, NLP, Computer Vision, or recommendation engines) in commercial projects
  • Strong understanding of core AI/ML concepts including model training and data preprocessing
  • Expertise in advanced prompt engineering, RAG architectures, and vector databases
  • Ability to critically analyze, fine-tune, and select AI models based on performance, cost, and latency constraints
  • Proven experience working with Microsoft Azure Technologies (Azure OpenAI, Azure ML pipelines, Azure Functions, Cosmos DB, AKS)
  • Solid understanding of SOLID principles, design patterns, microservices architecture, and CI/CD pipelines
  • Strong analytical and debugging skills with a proactive mindset
  • Ability to mentor junior engineers and pair with Product Owners

Responsibilities

  • Architect, develop, and maintain high-performance, scalable, and secure enterprise-grade applications using modern .NET stack (C#, .NET 8, ASP.NET Core, Microservices)
  • Lead the hands-on integration and leveraging of AI technologies in real-world, production-ready projects
  • Evaluate, select, and implement optimal AI models, frameworks, and orchestrators to solve complex business problems
  • Apply AI/ML concepts to drive high-quality model training, dataset preprocessing, and advanced prompt engineering
  • Design and manage cloud infrastructure utilizing Microsoft Azure Technologies to deploy and scale AI workloads
  • Explain complex AI concepts, architectural designs, and trade-offs to technical and non-technical stakeholders
  • Establish and adhere to guidelines regarding security, rate limits, latency optimization, data privacy, and ethical AI
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