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Microsoft Principal Applied AI Engineer Taiwan, Taoyuan City 68944406
16.10.2025
Qualifications
- Bachelor's Degree in Computer Science, Data Science or related technical field
- 5+ years technical engineering experience with coding in languages including C#, Java AND Python
- Should have 5+ years in Data Science experience
- 3+ years of experience with LLMs and open-source GenAI frameworks, such as LangChain, LlamaIndex, Haystack, or equivalents (e.g., Transformers, AutoGen, DSPy), including agent-based orchestration, prompt engineering, retrieval-augmented generation (RAG), and fine-tuning and evaluation.
- Proficiency in writing production-quality software code in one or more modern programming languages (Python, C#)
- 3+ years experience developing software systems end-to-end, from design to implementation.
- 2+ years experience in shipping at least 2 large scale ML/AI-based services or applications on cloud platforms (Azure, AWS, GCP, etc.)
Responsibilities
- Design, develop, and deploy end-to-end AI/ML systems, including data ingestion, model training, evaluation, and integration into production environments.
- Build and optimize applications leveraging LLMs and open-source GenAI frameworks such as LangChain, LlamaIndex, Haystack, Transformers, AutoGen, and DSPy.
- Implement advanced GenAI techniques including agent-based orchestration, prompt engineering, retrieval-augmented generation (RAG), and model fine-tuning.
- Write production-grade software in Python and C# or Java, ensuring maintainability, scalability, and performance.
- Collaborate with cross-functional teams to translate business requirements into technical solutions.
- Ship and maintain large-scale AI applications, with a focus on performance monitoring and continuous improvement.
- Conduct rigorous evaluation of AI models using appropriate metrics and benchmarks.
- Optimize models for latency, throughput, and accuracy in real-world scenarios.
- Work closely with data scientists, product managers, and other engineers to drive AI initiatives.
- Stay current with the latest advancements in GenAI, LLMs, and AI frameworks.
- Prototype and experiment with emerging technologies to assess feasibility and impact.
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