AI Applied Software Engineer
Job Description
We are in an era of unprecedented innovation and openness. As Microsoft continues to lead in AI, we are seeking individuals to help tackle some of the most exciting and meaningful challenges in the field. Our vision is to build a truly open architecture platform that enables users to summon tailored AI agents to drive real-world outcomes. We are looking for an AI Applied Engineer 2 to join our team This role will combine AI knowledge with applied science expertise, and demonstrate a growth mindset and customer empathy. Join us in shaping the future of AI agents. Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.
Locations
- Prague, Prague, Czech Republic, Prague, Prague, Czech Republic
Salary
Salary not disclosed
Required Qualifications
- 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 - OR equivalent experience Experience with generative AI OR LLM/ML algorithms Other Requirements: Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter. Preferred Qualifications: 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 (degree)
- 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 - OR equivalent experience (degree)
- Experience with generative AI OR LLM/ML algorithms (degree)
- Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: (degree)
- Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter. (degree)
- Experience with MLOps Workflows, including CI/CD, monitoring, and retraining pipelines. (degree)
- Familiarity with modern LLMOps frameworks (e.g., LangChain, PromptFlow) (degree)
- Experience developing and deploying live production systems one or more of the following: C#, Java, React/Angular, TypeScript. (degree)
- Experience with design and implementation of enterprise-scale services (degree)
- Experience publishing in peer-reviewed venues or filing patents (degree)
- Experience presenting at conferences or industry events (degree)
- Experience conducting research in academic or industry settings (degree)
- Experience working with Generative AI models and ML stacks (degree)
- Experience across the product lifecycle from ideation to shipping (degree)
Preferred Qualifications
- Experience with MLOps Workflows, including CI/CD, monitoring, and retraining pipelines. (degree)
- Familiarity with modern LLMOps frameworks (e.g., LangChain, PromptFlow) (degree)
- Experience developing and deploying live production systems one or more of the following: C#, Java, React/Angular, TypeScript. (degree)
- Experience with design and implementation of enterprise-scale services (degree)
- Experience publishing in peer-reviewed venues or filing patents (degree)
- Experience presenting at conferences or industry events (degree)
- Experience conducting research in academic or industry settings (degree)
- Experience working with Generative AI models and ML stacks (degree)
- Experience across the product lifecycle from ideation to shipping (degree)
Responsibilities
- 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.
Travel Requirements
3 days / week in-office
