AI Applied Software Engineer 2 at Microsoft

, , Czechia -

Full Time

Start Date

Immediate

Expiry Date

23 Feb, 26

Salary

0.0

Posted On

25 Nov, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Machine Learning, Data Science, AI, MLOps, Generative AI, LLM/ML Algorithms, C#, Java, React, Angular, TypeScript, Enterprise-scale Services, Research, Prototyping, A/B Testing, Telemetry

Industry

Software Development

Description

You will collaborate across product, research and engineering teams to bring innovative solutions to life, applying your expertise in machine learning, data science, and AI to solve complex problems. Your work will directly influence product direction and customer experiences. Build collaborative relationships with product and business groups to deliver AI-driven impact Research and implement state-of-the-art using foundation models, prompt engineering, RAG, graphs, multi-agent architectures, as well as classical machine learning techniques. Fine-tune foundation models using domain-specific datasets. - Evaluate model behavior on relevance, bias, hallucination, and response quality via offline evaluations, shadow experiments, online experiments, and ROI analysis. Build rapid AI solution prototypes, contribute to production deployment of these solutions, debug production code, support MLOps/AIOps. Contribute to papers, patents, and conference presentations. - Translate research into production-ready solutions and measure their impact through A/B testing and telemetry that address customer needs. Ability to use data to identify gaps in AI quality, uncover insights and implement PoCs to show proof of concepts. Bachelor's degree in computer science, Statistics, Electrical/Computer Engineering, Physics, Mathematics or related field AND experience in AI/ML, predictive analytics, or research - OR Master's degree Experience with generative AI OR LLM/ML algorithms These requirements include but are not limited to the following specialized security screenings: Experience with MLOps Workflows, including CI/CD, monitoring, and retraining pipelines. Familiarity with modern LLMOps frameworks (e.g., LangChain, PromptFlow) Experience developing and deploying live production systems one or more of the following: C#, Java, React/Angular, TypeScript. Experience with design and implementation of enterprise-scale services Experience publishing in peer-reviewed venues or filing patents Experience presenting at conferences or industry events Experience conducting research in academic or industry settings Experience working with Generative AI models and ML stacks Experience across the product lifecycle from ideation to shipping This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. *

Responsibilities

You will collaborate across product, research, and engineering teams to bring innovative solutions to life. Your work will directly influence product direction and customer experiences.